Alternatives to Visdom
Compare Visdom alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Visdom in 2026. Compare features, ratings, user reviews, pricing, and more from Visdom competitors and alternatives in order to make an informed decision for your business.
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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. -
2
C++Builder
Embarcadero
C++Builder is a fast, integrated design and development suite for modern apps. Are you ready to design the best UIs of your life? Our award winning VCL framework for Windows and FireMonkey (FMX) visual framework for cross-platform UIs provide you with the foundation for intuitive, beautiful user interfaces that wow on every platform: Windows, macOS, iOS, and Android. Design your master UI layout once, then easily customize platform- and device-specific views without duplication of design effort. Drag-and-drop visual and non-visual components from the palette using our visual designer. Visually connect user interface elements to data sources using the LiveBindings Designer. Real-time design validation using Live On-Device Preview to broadcast the active form to multiple devices simultaneously. Add responsive design with resolution-aware components for desktop, tablets, and smartphones. Real, platform-specific native controls for an improved user experience. -
3
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
4
TensorFlow
TensorFlow
An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.Starting Price: Free -
5
TensorBoard
Tensorflow
TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.Starting Price: Free -
6
MLflow
MLflow
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects. -
7
neptune.ai
neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.Starting Price: $49 per month -
8
Determined AI
Determined AI
Distributed training without changing your model code, determined takes care of provisioning machines, networking, data loading, and fault tolerance. Our open source deep learning platform enables you to train models in hours and minutes, not days and weeks. Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources. Our distributed training implementation outperforms the industry standard, requires no code changes, and is fully integrated with our state-of-the-art training platform. With built-in experiment tracking and visualization, Determined records metrics automatically, makes your ML projects reproducible and allows your team to collaborate more easily. Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure. -
9
Weights & Biases
Weights & Biases
Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence. -
10
Polyaxon
Polyaxon
A Platform for reproducible and scalable Machine Learning and Deep Learning applications. Learn more about the suite of features and products that underpin today's most innovative platform for managing data science workflows. Polyaxon provides an interactive workspace with notebooks, tensorboards, visualizations,and dashboards. Collaborate with the rest of your team, share and compare experiments and results. Reproducible results with a built-in version control for code and experiments. Deploy Polyaxon in the cloud, on-premises or in hybrid environments, including single laptop, container management platforms, or on Kubernetes. Spin up or down, add more nodes, add more GPUs, and expand storage. -
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Chemaxon Design Hub
Chemaxon
A platform that connects scientific rationale, compound design, and computational resources. Chemaxon’s Design Hub for medicinal chemistry from analysis to prioritize ideas. Design Compounds and manage ideas within one platform. A single platform that connects scientific rationale, compound design, and computational resources. Switch from PowerPoint files to graphical and chemically searchable hypotheses that are an integral part of the compound design process. Easily work with your trusted phys-chem properties, computational models, novelty issues, or purchasable compound catalogs in a rich visual environment. Involve your CROs in the compound progression process using this secure online service. Analyze collected evidence from biological assays or experimental structural information, extract SAR, and make new hypotheses for the next optimization iteration. Store your scientific hypotheses in a “designer's ELN” (chemically aware drawing canvases). -
12
Signals Research Suite
PerkinElmer Informatics
Secure and scalable, the Suite features a modern, intuitive interface that offers scientists complete control in configuring workflows for every technique, modality, and data type. Signals VitroVivo 3.0 (formerly Signal’s Screening) easily transforms raw data into actionable results and Signals Inventa 3.0 (formerly Signals Lead Discovery) is the next-gen analytics software that enables researchers to seamlessly publish results from disparate data sources. Experimental data capture, materials management, and collaboration workflows in a user-friendly cloud-based electronic notebook. Flexible visual and automatable instrument data processing to drive data quality and reproducibility. Unified data management for scientific results combined with rich interactive analytics. Extensibility to integrate with internal and partner systems and processes. -
13
Aim
AimStack
Aim logs all your AI metadata (experiments, prompts, etc) enables a UI to compare & observe them and SDK to query them programmatically. Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions. -
14
DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
15
Comet
Comet
Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.Starting Price: $179 per user per month -
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Guild AI
Guild AI
Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through straightforward commands, eliminating the need for complex trial setups. It also supports the automation of pipelines, accelerating model development, reducing errors, and providing measurable results. The toolkit is platform-agnostic, running on all major operating systems and integrating seamlessly with existing software engineering tools. Guild AI supports various remote storage types, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers.Starting Price: Free -
17
DVC
iterative.ai
Data Version Control (DVC) is an open source version control system tailored for data science and machine learning projects. It offers a Git-like experience to organize data, models, and experiments, enabling users to manage and version images, audio, video, and text files in storage, and to structure their machine learning modeling process into a reproducible workflow. DVC integrates seamlessly with existing software engineering tools, allowing teams to define any aspect of their machine learning projects, data and model versions, pipelines, and experiments, in human-readable metafiles. This approach facilitates the use of best practices and established engineering toolsets, reducing the gap between data science and software engineering. By leveraging Git, DVC enables versioning and sharing of entire machine learning projects, including source code, configurations, parameters, metrics, data assets, and processes, by committing DVC metafiles as placeholders. -
18
Tomviz
Kitware
Tomviz is an open source, cross-platform application designed for the processing, visualization, and analysis of 3D tomographic data, with a particular focus on electron tomography. It provides a robust graphical interface that allows users to render objects as shaded contours or volumetric projections, facilitating the manipulation and analysis of large 3D tomograms. Users can work with multiple datasets simultaneously, applying various colormaps and visualization settings to rotate, slice, animate, and save visualizations as images or video files. The platform supports advanced data analysis through histograms, multicorrelative statistics, multiple filters, and user-customized Python scripts. Additionally, Tomviz enables tomographic reconstructions of experimental data, offering a comprehensive suite of Python tools for 3D analysis to accommodate custom algorithms. It is compatible with 64-bit Windows, macOS, and Linux operating systems.Starting Price: Free -
19
BIOVIA
Dassault Systèmes
BIOVIA solutions create an unmatched scientific management environment that can help science-based organizations create and connect biological, chemical and material innovations to improve the way we live. The industry-leading BIOVIA portfolio is focused on integrating the diversity of science, experimental processes and information requirements end-to-end across research, development, QA/QC and manufacturing. Capabilities over the areas of Scientific Informatics, Molecular Modeling/Simulation, Data Science, Laboratory Informatics, Formulation Design, BioPharma Quality & Compliance and Manufacturing Analytics. BIOVIA is committed to enhancing and speeding innovation, increasing productivity, improving quality and compliance, reducing costs and accelerating product development for customers in multiple industries. Manage and connect scientific innovation processes and information across the product lifecycle. -
20
ClearML
ClearML
ClearML is the leading open source MLOps and AI platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation. ClearML is used by more than 1,300 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. ClearML is trusted by more than 150,000 forward-thinking Data Scientists, Data Engineers, ML Engineers, DevOps, Product Managers and business unit decision makers at leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide within industries such as gaming, biotech , defense, healthcare, CPG, retail, financial services, among others.Starting Price: $15 -
21
Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.
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22
Tobii Pro Lab
Tobii Pro
Pro Lab is the eye tracking software designed for conducting experimental research with Tobii Pro hardware. The flexible platform guides and supports the researcher through the entire research workflow, from simple to complex experiments. Tobii Pro Lab constitutes – together with Tobii Pro hardware – a complete solution for researching human behavior. It provides a visual user interface and dedicated software features that efficiently guide and support the researcher through all phases of an eye tracking experiment – from test design and recording to analysis. Designed to facilitate good experimental practice, Pro Lab makes it simple for beginners to get started with eye tracking and offers a large degree of flexibility as you grow your research ambitions. Pro Lab is our dedicated software to work with our screen-based and wearable eye trackers for the most optimal and efficient data streams processing. -
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BIOVIA COSMO-RS
Dassault Systèmes
BIOVIA COSMO-RS is a comprehensive toolbox for modeling and predicting fluid phase properties, enabling chemical engineers, chemists, formulation engineers, and materials scientists to research and develop new solutions faster and more efficiently than with test and experimentation alone, thus accelerating innovation and reducing costs. COSMO-RS simulations are based on a sound scientific theory, which ensures robust and reliable predictions over the whole range of chemistry in the liquid state. The first-principle approach allows for predictions of new, not yet synthesized compounds, reaching beyond the known chemical space. BIOVIA’s COSMO team consists of the original inventors of COSMO-RS, assuring timely support and prime expertise to help solve even the most challenging problems in solution thermodynamics. Key benefits include a robust scientific foundation combining quantum chemistry and thermodynamics to ensure accuracy and reliability. -
24
RStudio
Posit
RStudio IDE is a powerful integrated development environment built for data scientists using R and Python; it features a console, syntax-highlighting editor supporting direct code execution, plotting, history management, debugging tools, and workspace controls. The open source edition runs on Windows, Mac, and Linux desktops and includes code completion, smart indentation, Visual Markdown editing, project-based working directories, integrated support for multiple working directories, R help and documentation search, interactive debugging, and extensive tools for package development, all under the AGPL v3 license. While the open version provides core capabilities for coding and data exploration, commercial editions add enterprise-grade features like database/NoSQL connections, priority support, and commercial licensing options. RStudio IDE empowers users to analyze data, build visualizations, develop packages, and produce reproducible workflows in a trusted open-source environment.Starting Price: $1,163 per year -
25
MolView
MolView
MolView is an intuitive, Open-Source web application to make science and education more awesome! MolView is mainly intended as a web-based data visualization platform. You can use MolView to search through different scientific databases including compound databases, protein databases and spectral databases, and view records from these databases as interactive visualizations using WebGL and HTML5 technologies. This web application is built on top of the JavaScript libraries and online services listed below. The Virtual Model Kit has been a source of inspiration for the birth of this project.Starting Price: Free -
26
Data Desk
Data Description
Beyond the most trivial cases, there is little value in blindly applying formulas to data. Real world data analysis is a multi-step process, and Data Desk speeds up this process by allowing you to select suspicious-looking outlying cases in one visual, and keeping your point selected as you change visualizations. Spot outliers and trends at a glance. By allowing users to quickly re-express data in different ways, Data Desk encourages experimentation and composition to create more compelling models. Select and categorize data across different visualizations in real-time. Make plots and perform sophisticated analyses with Data Desk’s graphical interface, then just click to export the R or Python code that reproduces what you’ve done. Data Desk cleans your data to R’s standards (no choking on stray characters). Comments you make in your Data Desk windows appear as comments in your code. -
27
Mixboard
Google
Mixboard is an experimental, AI-powered concepting board that helps you explore, expand, and refine your ideas by blending visuals and text on an open canvas. You can start a new project from a text prompt or pick a pre-populated board to begin with, then bring in your own images or have AI generate new ones to match your vision. Once visuals are on the board, you can issue natural language commands to make edits, merge or remix concepts, or request new versions of images using one-click tools like “regenerate” or “more like this.” The system is backed by Google’s Nano Banana image model, which enables context-aware image edits and style transformations. In addition to visuals, Mixboard can generate captions or supportive text based on the images currently on your board, making it possible to shape both form and narrative in one place. It is available in public beta in the U.S. through Google Labs, and is intended as a creative experimentation tool for ideation and visual planning. -
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Walling
Walling
Walling is your visual space to organize ideas, manage tasks and see the big picture of your projects on visual collaborative walls. The visual experience of the walls provides clarity and visibility into your ideas and project details. Visual walls for your ideas, projects and research. With your ideas side by side, Walling empowers you to step back and get a high-level understanding of what you're working on. Keep your bookmarks organized on a wall and easily create beautiful mood boards. Collect bookmarks & create mood boards. Visualize the entire context of your projects, plans, tasks, research, creative briefs and much more. All visually organized in one place! Walling helps you visually work through tasks, plans and research, without layer after layer of clicks to reveal your ideas. You can invite your team or clients to your walls to collaborate with you in real time, add their own ideas and leave comments, or you can share a public link to the wall to share it with everyone!Starting Price: $8 per month -
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LimeSurvey
LimeSurvey GmbH
The worldwide leading Free Open Source survey software. LimeSurvey Cloud: Use LimeSurvey comfortably in the cloud. You do not need to install or update LimeSurvey yourself. We will do this for you in one of our highly available data centers in accordance with data protection regulations. Also benefit from exclusive features only available with LimeSurvey Cloud. LimeSurvey Community Edition: Thanks to LimeSurvey Community Edition you can run any research project as freely as possible. Create complex research designs and exchange surveys, tests and measurement instruments with other researches in the open LSS file format. Or make your validated questionnaires available to the scientific community. Providing the best opportunities for education and developing knowledge. With LimeSurvey, we, therefore, offer universities all the tools they need to carry out extensive studies, implement experimental designs or just run simple surveys.Starting Price: $29 per month -
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Azure Machine Learning
Microsoft
Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R. -
31
Keepsake
Replicate
Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.Starting Price: Free -
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Scilab
Scilab Enterprises
Numerical analysis or Scientific computing is the study of approximation techniques for numerically solving mathematical problems. Scilab provides graphics functions to visualize, annotate and export data and offers many ways to create and customize various types of plots and charts. Scilab is a high level programming language for scientific programming. It enables a rapid prototyping of algorithms, without having to deal with the complexity of other more low level programming language such as C and Fortran (memory management, variable definition). This is natively handled by Scilab, which results in a few lines of code for complex mathematical operations, where other languages would require much longer codes. It also comes with advanced data structure such as polynomials, matrices and graphic handles and provides an easily operable development environment. -
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ProtoSphere
ProtonMedia
ProtoSphere is business collaboration software that allows your organization to quickly create a 3D immersive environment optimized for business applications such as e-learning, virtual meetings and virtual conference events, scientific research and development, and sales and manufacturing collaborations involving rich data visualization. ProtoSphere allows global organizations to effectively bring together their best people and relevant information to make optimal business decisions, from anywhere, at anytime. You get everything you need to create your own 3D virtual immersive environment for your business including server and client software, management and administration tools, and end-user tools for putting content and application data feeds into the environment. ProtoSphere is based on the ubiquitous Microsoft Windows server and desktop client operating system platforms. -
34
MPLAB X IDE
Microchip
MPLAB® X Integrated Development Environment (IDE) is an expandable, highly configurable software program that incorporates powerful tools to help you discover, configure, develop, debug and qualify embedded designs for most of our microcontrollers and digital signal controllers. MPLAB X IDE works seamlessly with the MPLAB development ecosystem of software and tools, many of which are completely free. No need to purchase extra visualizations tools since real-time streaming data can be viewed in Data Visualizer. Pin states can be verified and manipulated with I/O View for fast hardware verification. Save time with useful links to software libraries, datasheets and user guides that are provided automatically. Includes the MPLAB Integrated Programming Environment (IPE) for production-level programming. MPLAB X IDE brings a host of features to help you quickly debug your projects and minimize your development time. -
35
FLUX.2
Black Forest Labs
FLUX.2 is built for real production workflows, delivering high-quality visuals while maintaining character, product, and style consistency across multiple reference images. It handles structured prompts, brand-safe layouts, complex text rendering, and detailed logos with precision. The model supports multi-reference inputs, editing at up to 4 megapixels, and generates both photorealistic scenes and highly stylized compositions. With a focus on reliability, FLUX.2 processes real-world creative tasks—such as infographics, product shots, and UI mockups—with exceptional stability. It represents Black Forest Labs’ open-core approach, pairing frontier-level capability with open-weight models that invite experimentation. Across its variants, FLUX.2 provides flexible options for studios, developers, and researchers who need scalable, customizable visual intelligence. -
36
ParaView
Kitware
ParaView is an open source, multi-platform data analysis and visualization application that enables users to build visualizations for analyzing data using qualitative and quantitative techniques. It supports interactive 3D exploration and programmatic data processing through batch processing capabilities. ParaView is designed to handle extremely large datasets using distributed memory computing resources, making it suitable for supercomputers analyzing terascale datasets as well as laptops for smaller data. The application features a client-server architecture to facilitate remote visualization of datasets and generates level-of-detail models to maintain interactive frame rates for large datasets. ParaView's extensible architecture is based on open standards, allowing for customization and integration with existing tools and workflows. It includes readers for various well-known file formats and offers more than 200 filters and tools for data processing and visualization.Starting Price: Free -
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nuVerve
Rheolution
NuVerve is revolutionizing the way scientists work with data through its collaborative SaaS platform, offering Scientific Data Intelligence that empowers researchers across disciplines. With NuVerve, scientists gain access to a comprehensive suite of easy-to-use features designed to streamline data structuring, enable custom analyses, and facilitate the automatic generation of reports. By leveraging NuVerve's intuitive interface, researchers can efficiently organize and manipulate their data, allowing for more effective exploration and interpretation. Whether working with large datasets or complex experimental results, NuVerve provides the tools necessary to unlock insights and accelerate scientific discovery. Priced at an affordable $75 per month, NuVerve is accessible to scientists at all stages of their careers, from students and early-career researchers to seasoned professionals. Its collaborative nature fosters teamwork and knowledge sharing, facilitating collaboration bothStarting Price: $75/month -
38
HoneyHive
HoneyHive
AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management. -
39
BenchSci
BenchSci
Eliminate inefficiencies and errors in the entire reagent and model system selection process that cause costly experimental failure. Accelerate projects by selecting reagents and model systems in 30 seconds vs. 12 weeks. Reduce hard cost of consumables and save millions per year. Empower organizational purpose by restoring research time to scientists. See real business impact from AI with a proven, turnkey application. Over 41,200 scientists in 15 of the top 20 pharmaceutical companies and more than 4,450 academic institutions use BenchSci’s AI-Assisted Antibody Selection to plan more successful experiments, with proven savings of millions per year in hard costs alone. But antibodies constitute just 40-50% of reagent failures. Get comprehensive experimental evidence, reagent and model system catalog data, and independent validations within a single intuitive interface. Real world experiment data from 11.2 million scientific publications, including closed-access papers. -
40
Microsoft Discovery
Microsoft
Microsoft Discovery is a new agentic platform designed to revolutionize research and development (R&D) by empowering scientists and engineers with AI-driven collaboration and high-performance computing (HPC). Built on Azure, this platform enables researchers to work alongside specialized AI agents that help accelerate the discovery process through advanced knowledge reasoning, hypothesis formulation, and experimental simulations. The platform's graph-based knowledge engine facilitates complex, contextual reasoning over vast amounts of scientific data, promoting transparency and accountability while speeding up the discovery cycle. By automating and enhancing research tasks, Microsoft Discovery offers an extensible, enterprise-ready solution that integrates seamlessly with existing tools and datasets. -
41
Sonic Visualiser
Sonic Visualiser
Sonic Visualiser is a free, open source application for Windows, Linux, and Mac, designed to be the first program you reach for when you want to study a music recording closely. It's designed for musicologists, archivists, signal-processing researchers, and anyone else looking for a friendly way to look at what lies inside the audio file. Sonic Visualiser itself is the most general, program for highly configurable detailed visualization, analysis, and annotation of audio recordings. Rapid visualization of multiple audio files containing versions of the same source material, such as performances from the same score, or different takes of an instrumental part. High-quality pitch and note transcription for scientific applications, designed primarily for solo vocal recordings. Non-interactive command-line program application for batch audio feature extraction.Starting Price: Free -
42
SciChart
SciChart
SciChart is a cross-platform, high-performance charting and data visualization library suite that provides developers with GPU-accelerated, real-time 2D and 3D chart components for JavaScript, WPF/.NET, iOS, macOS, and Android applications so they can render millions to billions of data points smoothly with minimal lag and build complex interactive dashboards, scientific graphs, and live telemetry displays without performance penalties; its proprietary Visual Xccelerator engine and WebGL/WebAssembly support enable charts to update at high frame rates even under heavy data loads typical of big-data, financial trading, and instrumentation applications. SciChart offers a rich API with extensive customization (axes, annotations, interaction modifiers, themes, advanced chart types like heatmaps, polar plots, 3D surface meshes, vector fields, candlesticks, and more), seamless integration into modern development workflows.Starting Price: Free -
43
Delphi
Embarcadero
Delphi is the ultimate IDE for creating cross-platform, natively compiled apps. Are you ready to design the best UIs of your life? Our award winning VCL framework for Windows and FireMonkey (FMX) visual framework for cross-platform UIs provide you with the foundation for intuitive, beautiful user interfaces that wow on every platform: Windows, macOS, iOS, and Android. Design your master UI layout once, then easily customize platform- and device-specific views without duplication of design effort. Drag-and-drop visual and non-visual components from the palette using our visual designer. Visually connect user interface elements to data sources using the LiveBindings Designer. Real-time design validation using Live On-Device Preview to broadcast the active form to multiple devices simultaneously. Add responsive design with resolution-aware components for desktop, tablets, and smartphones. Real, platform-specific native controls for an improved user experience. -
44
CalcGen
CalcGen
CalcGen AI is a powerful platform that allows users to transform raw data into interactive visualizations within seconds. It simplifies the process of data analysis by enabling users to upload their datasets and instantly generate clear, engaging visual representations. The tool is designed for efficiency, making it easy for businesses, researchers, and analysts to explore and present their data insights in a visually appealing and interactive manner, saving time and improving decision-making processes. Generate custom, interactive visualizations from your data and prompt. Include what you want to input or select, variables, limits, categories, sorting options, filters, etc. Share your custom visualization or embed it in your site. Plot this data, and choose revenue, cost, or profit. -
45
Savante
Xybion Corporation
Consolidating and validating data sets is a highly challenging and business-critical effort for many Contract Research Organizations (CROs) and drug developers who perform toxicology studies either internally or outsourced with external partners. Savante provides a mechanism for your organization to create, merge, validate, and visualize preclinical study data regardless of source or format. Savante provides a vehicle for preclinical data aggregation, analysis, and visualization in SEND format to scientific staff and management. Preclinical data from Pristima XD is automatically synchronized into the Savante repository. Data from other sources can be aggregated through migration and import, including direct loads of sent data sets. The Savante toolkit handles the necessary consolidation, study merging, control terminology mapping, and data definition file preparation. -
46
Amira Software
Thermo Fisher Scientific
Thermo Scientific Amira Software is a powerful, universal 2D–5D solution for visualizing, analyzing, and understanding life science and biomedical research data from various imaging modalities, including optical and electron microscopy, CT, MRI, and other techniques. With incredible speed and flexibility, Amira Software supports advanced 2D–5D bioimaging workflows in research areas ranging from structural and cellular biology to tissue imaging, neuroscience, preclinical imaging, and bioengineering. Key features include import and image data processing, visualization and exploration, advanced segmentation, measurement, quantification, and analysis, as well as specialized tools for molecular visualization, object tracking, filament tracing, meshing for finite element analysis, diffusion tensor imaging, 3D registration, and biomaterial deformation analysis. Amira Software also offers customization options and access to ecosystems such as MATLAB, Python, and custom C++. -
47
BioVinci
BioVinci
BioVinci automatically runs state-of-the-art methods and recommends the best one to visualize your high-dimensional data. Explore high-dimensional data using machine learning algorithms: dimensionality reduction and feature selection. Convert massive datasets into speaking graphics without coding. Visualize research results using various graph types and customization options. The software allows scientists, without programming experiences, to quickly apply state-of-the-art machine learning techniques on their data and elegantly visualize the results to gain insights, otherwise, difficult to obtain. We specially focus on the design of BioVinci 2.0 to make it friendly even for first-time users. While having a wide range of plot configurations to serve different needs of users, we hope to bring the aesthetics, simplicity, interactive, publication-ready, and information revealing in every plot. -
48
LatchBio
LatchBio
Stop wresting with cloud infrastructure and broken informatics tools. Start discovering biological insights today. Scientific discovery is bottlenecked by the fragmentation of tooling across biology and bioinformatics teams. We built a harmonized bioinformatics platform between wet lab and dry lab in the cloud to help teams accelerate their R&D. Import raw data from your cloud, your service provider, or your team's instruments. Develop and deploy custom bioinformatics workflows in any language. Stop wrestling with your infrastructure. Easily run any workflow and keep a log of every analysis. Ready-to-go interactive visualizations for NGS data with point-and-click plots. Latch supports integration with your organization’s AWS S3. Access hundreds of terabytes of data in an organic filesystem you are familiar with. Define bioinformatics workflows and dynamically generate no-code interfaces using Python with tunable compute and storage. -
49
Scopus
Elsevier
Scopus offers free features to non-subscribed users as Scopus Preview. Researchers use Scopus Preview to assist with research, such as searching for authors and learning more about Scopus content coverage and source metrics. Scopus is an abstract and citation database of peer-reviewed literature including scientific journals, books, and conference proceedings. Scopus provides a comprehensive overview of worldwide research output in the fields of science, technology, medicine, social sciences, and arts and humanities. Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings. Delivering a comprehensive overview of the world's research output in the fields of science, technology, medicine, social sciences, and arts and humanities, Scopus features smart tools to track, analyze and visualize research. You can make sure that critical research from around the world is not missed when you choose Scopus. -
50
Bokeh
Bokeh
Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.Starting Price: Free
