20 projects for "sql query" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Start Free
  • Demo Series - Small Business Backup By Veeam Icon
    Demo Series - Small Business Backup By Veeam

    Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

    Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
    Watch Demo Series
  • 1
    Hello SQL

    Hello SQL

    Spanish-language course repository that teaches fundamentals of SQL

    ...It targets absolute beginners as well as developers from other stacks who want a clean, project-based path into SQL.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Vanna 2.0

    Vanna 2.0

    Chat with your SQL database

    Vanna is an open-source Python framework that enables natural language interaction with databases by converting user questions into executable SQL queries using large language models. The framework uses a retrieval-augmented generation architecture that learns from database schemas, documentation, and past query examples to generate accurate queries tailored to a specific dataset. Vanna can be integrated into many environments, including notebooks, web applications, messaging platforms, and data dashboards, making it flexible for analytics and data exploration workflows. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    SAG

    SAG

    SQL-Driven RAG Engine

    SAG is an open-source SQL-driven retrieval-augmented generation engine that dynamically constructs knowledge graphs during query processing. Instead of relying on a static knowledge graph prepared in advance, the system automatically builds relational structures between entities while processing user queries. Documents are first decomposed into atomic semantic events, which are then represented using multidimensional natural language vectors.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 4
    AI Data Science Team

    AI Data Science Team

    An AI-powered data science team of agents

    ...It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. The project includes ready-to-use applications that showcase these agents in action, such as an exploratory data analysis copilot that generates reports, a pandas data analyst that combines wrangling and plotting, and SQL database agents that can query business databases and output results directly.
    Downloads: 1 This Week
    Last Update:
    See Project
  • One Monitoring Tool for IT, OT and Cloud | Free Trial Icon
    One Monitoring Tool for IT, OT and Cloud | Free Trial

    Vendor-agnostic monitoring across on-prem servers, cloud platforms and OT devices, all in one dashboard. No more tool sprawl.

    Modern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
    Try PRTG Free
  • 5
    Open Gauss

    Open Gauss

    Project-scoped Lean workflow orchestrator from Math, Inc.

    ...It is based on the PostgreSQL ecosystem but significantly extends its capabilities through architectural optimizations, AI-driven features, and enterprise-level enhancements. The database organizes data using the relational model, storing structured information in tables composed of rows and columns while supporting standard SQL for querying and management. One of its defining strengths is its optimization for multi-core and distributed environments, allowing it to efficiently process high volumes of concurrent transactions with minimal latency. OpenGauss also incorporates AI-based optimization techniques, such as intelligent query planning, performance prediction, and automated tuning, which help reduce operational complexity and improve efficiency.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Grafana

    Grafana

    Leading open-source visualization and observability platform

    Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. ...
    Downloads: 21 This Week
    Last Update:
    See Project
  • 7
    Dash Data Agent

    Dash Data Agent

    Self-learning data agent that grounds its answers in layers of content

    Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    AWS SDK for pandas

    AWS SDK for pandas

    Easy integration with Athena, Glue, Redshift, Timestream, Neptune

    aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    MetricFlow

    MetricFlow

    MetricFlow allows you to define, build, and maintain metrics in code

    MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • 10
    sqlite-web

    sqlite-web

    Web-based SQLite database browser written in Python

    ...It lets users open existing SQLite databases or create new ones through a browser interface. The tool can browse table data, inspect database structure, and run arbitrary SQL queries from a dedicated query tab. It also supports common editing actions, including inserting, updating, and deleting rows. Users can add or drop tables, columns, and indexes, and they can import or export data in JSON or CSV format. It can run from the command line, through Docker, or with a higher-performance gevent WSGI server, making it useful for quick database inspection, lightweight administration, and local development workflows.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    LlamaIndex

    LlamaIndex

    Central interface to connect your LLM's with external data

    LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion. Provides indices over your unstructured and structured data for use with LLM's. These indices help to abstract away common boilerplate and pain points for in-context learning. Dealing with prompt limitations (e.g. 4096 tokens for Davinci) when...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 12
    Records

    Records

    Records is a simple, but powerful, library for making raw SQL queries

    Records is a Python library designed to make direct SQL querying convenient without introducing a full object-relational mapper. It supports relational databases including PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server, and Amazon Redshift through SQLAlchemy. Query results are exposed as friendly Record objects whose fields can be accessed by attribute, key, or numeric index.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    SQLFlow

    SQLFlow

    SQL compiler bridging databases and machine learning workflows

    ...By embedding machine learning operations into SQL, it removes the need for users to switch between programming languages such as Python or R, simplifying the overall workflow. SQLFlow also supports model training, prediction, and explanation tasks, allowing data practitioners to work entirely within a familiar query interface.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 14
    sqliv

    sqliv

    Massive SQL injection vulnerability scanner for automated web testing

    SQLiv is a command-line security tool designed to identify SQL injection vulnerabilities in web applications through automated scanning techniques. Written primarily in Python, the project focuses on discovering potentially vulnerable web pages by analyzing URLs that contain database query parameters. It can perform large-scale scanning by using search engine queries known as SQL injection dorks to collect candidate websites and then test them for vulnerabilities. ...
    Downloads: 6 This Week
    Last Update:
    See Project
  • 15
    netmonsql

    netmonsql

    Network performance monitoring and logging script for Cisco devices.

    NetMon_Cisco_to_SQL.py is a basic network performance monitoring and logging script for Cisco devices. It gathers parameters (CPU Utilization, Used Processor Memory, Used IO Memory, UP Ethernet Interfaces density, in percent velues) from Cisco routers by parsing command outputs and exports them to a MySQL database. NetMon_Query.py is a query script for the MySQL database in the form of an interactive menu for generating statistics. Tools used for coding and testing: Python 2.7.3,...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    Mole

    Mole

    Automatic SQL Injection Exploitation Tool

    Mole is an automatic SQL Injection exploitation tool. Only by providing a vulnerable URL and a valid string on the site it can detect the injection and exploit it, either by using the union technique or a boolean query based technique. The Mole uses a command based interface, allowing the user to indicate the action he wants to perform easily. The CLI also provides auto-completion on both commands and command arguments, making the user type as less as possible.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 17
    SQuaLe is a glib based SQL query load balancer over persitent database connections.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    A queries management software. It was primary designed for an IT team to manage the incidents, but can be used to manage any query, inside or outside an organization. Can be appropriate for Service Desk management.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    A cgi program written in Python that turns HTTP GET and POST queries into SQL queries, runs them, turns the results into XML, and then returns the XML as the response to the HTTP query. It also supports returning a single BLOB as the whole response.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    Highly portable SQL query engine based in Python with transactions, recovery and client server mode.
    Downloads: 2 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next