Browse free open source Python HMI Software and projects below. Use the toggles on the left to filter open source Python HMI Software by OS, license, language, programming language, and project status.

  • AI-generated apps that pass security review Icon
    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

    Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
    Try Retool free
  • 99.99% Uptime for MySQL and PostgreSQL on Google Cloud Icon
    99.99% Uptime for MySQL and PostgreSQL on Google Cloud

    Enterprise Plus edition delivers sub-second maintenance downtime and 2x read/write performance. Built for critical apps.

    Cloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
    Try Cloud SQL Free
  • 1
    OpenCV

    OpenCV

    Open Source Computer Vision Library

    The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! https://docs.opencv.org/master Books about the OpenCV are described here: https://opencv.org/books.html
    Leader badge
    Downloads: 1,391 This Week
    Last Update:
    See Project
  • 2

    Presage

    the intelligent predictive text entry platform

    Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. Presage's predictive capabilities are implemented by predictive plugins. Predictive plugins use services provided by the platform to implement multiple prediction techniques.
    Leader badge
    Downloads: 347 This Week
    Last Update:
    See Project
  • 3
    Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 4
    PROJECT HAS MOVED! ROS is now hosted at https://code.ros.org/gf/project/ros/
    Downloads: 1 This Week
    Last Update:
    See Project
  • Build on Google Cloud with $300 in Free Credit Icon
    Build on Google Cloud with $300 in Free Credit

    New to Google Cloud? Get $300 in free credit to explore Compute Engine, BigQuery, Cloud Run, Vertex AI, and 150+ other products.

    Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
    Start Free Trial
  • 5
    BCI Project Triathlon
    A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Chloe - a chatterbot with charisma. Learns from experience, and speaks any language you teach her. Perhaps even useful, but surely entertaining.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7

    Distant Speech Recognition

    Beamforming and Speech Recognition Toolkit

    BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9

    MSTParser

    MSTParser is a non-projective dependency parser that searches for maxi

    MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods. Projective parsing is also supported. mstparser 0.5.1 is now available via Maven Central. If you use Maven as your build tool, then you can add it as a dependency in your pom.xml file: <dependency> <groupId>net.sourceforge.mstparser</groupId> <artifactId>mstparser</artifactId> <version>0.5.1</version> </dependency>
    Downloads: 0 This Week
    Last Update:
    See Project
  • Cut Data Warehouse Costs up to 54% with BigQuery Icon
    Cut Data Warehouse Costs up to 54% with BigQuery

    Migrate from Snowflake, Databricks, or Redshift with free migration tools. Exabyte scale without the Exabyte price.

    BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
    Try BigQuery Free
  • 10
    PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    RoboComp
    RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    This is the RoboCup Mixed Reality Project: a standard research and educational platform integrating cutting edge and low cost watch technology into a miniature multi-robot system which mixes reality and simulation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    Spirit
    Spirit, a different way to write! You guide your mouse through streams of predicted words. As the intelligent agent learns your writing style, its predictions become more accurate. You can prime Spirit with the prose and poetry of any author!
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    Applications contributed for URBI (Universal RealTime Behoavior Interface). URBI is a scripted command language used to control robots (AIBO pioneer..) as well as a robot-independant execution and developpement plateform. www.urbiforge.com www.gostai.com
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    pyDATR is an implementation of the DATR language written in Python and usable as Python library. It provides a means for persistence and some extensability with Python functions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. For obtaining a zip file of the current state use: https://github.com/pyspace/pyspace/archive/master.zip
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB