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A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
DataPup is an open-source, AI-assisted, cross-platform database client built with Electron and powered by LangChain for AI assistance. It currently supports ClickHouse and PostgreSQL, with MySQL and SQLite listed as coming soon. It is released under the MIT license.
Datumbox is an open-source machine learning framework written in Java for rapid development of machine learning and statistical applications. It focuses on including many machine learning algorithms and statistical methods and on handling large datasets. The code is licensed under the Apache License, Version 2.0, and releases are available on Maven Central, including version 0.8.2.
An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
E2B is an open-source, secure environment built with real-world tools for use with enterprise-grade AI agents. The project's GitHub repository includes documentation for installing the E2B SDK, obtaining an API key, and running sandboxed environments to execute commands. The repository accepts community contributions.
Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is a book by Brett Slatkin, published by Pearson Addison-Wesley in November 2024. It expands on the second edition from 90 to 125 best practices for writing Python code, adds new chapters on robustness and performance, and covers the language through Python version 3.13.
ImageBind is a PyTorch implementation with pretrained models from FAIR, Meta AI. It learns a joint embedding across six modalities: images, text, audio, depth, thermal, and IMU data. The release includes code and model weights under the CC-BY-NC 4.0 license.
Flyte 2 is described as a durable AI runtime for running training, serving and agent workloads, with automatic recovery from infrastructure and code failures. Workflows are written in Python, and the project is distributed as Apache 2.0 open source under the Linux Foundation.
GitWit is described as an open source, AI-native coding platform intended for building ideas. The site also presents an AI Editor with AI-powered suggestions and real-time collaboration for building, testing, and deploying.
GoCodeo is an AI coding agent that integrates with IDEs to generate code and tests. Its sources describe framework support, MCP-based tool integration, Supabase integration and Vercel deployment, and automated test generation.
goose is an open source AI agent that runs on the user's machine. It is available as a desktop app for macOS, Linux and Windows, a CLI, and an API built in Rust. The agent is general-purpose, covering code, workflows, research, writing and automation. It connects to 70+ extensions via the Model Context Protocol and works with 15+ LLM providers, including API keys or existing subscriptions.
GPT Pilot is an open-source project hosted on the Pythagora-io GitHub repository, described as the first real AI developer. Unlike tools that only generate code, GPT Pilot builds full applications, and the repository includes a security notice for users.
PandasAI is an open-source library that enables conversational data analysis using large language models and retrieval-augmented generation. It allows users to interact with databases or datalakes supporting SQL, CSV, and parquet file formats.
A freeCodeCamp handbook for developers on organizing AI agents for real business cases. It covers prerequisites, large language models, definitions of AI agents, and a decision algorithm for creating optimal agents, including checking budget, starting with one agent, and measuring performance. It uses a Google Research, Google DeepMind, and MIT paper as its primary source and code examples in a Google Colab notebook.
hyperopt (hyperopt-sklearn) is an open-source project that provides hyper-parameter optimization functionality for the scikit-learn (sklearn) machine learning library. It is hosted as a public repository on GitHub for collaborative development.
ChainForge is an open-source visual programming environment for battle-testing prompts to large language models. It supports querying multiple models at once, comparing response quality across prompts, models and model settings, and setting evaluation metrics to visualize results. Built on ReactFlow and Flask, it can be installed locally with pip or tried on the web, where features are limited.
Impala is a distributed C++ query engine for SQL queries over petabytes of data stored in Apache Hadoop clusters. It supports data in HDFS, Apache HBase and Amazon S3, window functions and subqueries, and uses LLVM for on-the-fly code generation. It is Apache-licensed and open source, and the repository is a mirror of Apache Impala.
The ipython-notebooks repository, hosted on GitHub under the user ogrisel, contains sample IPython notebooks for use with the scikit-learn machine learning library. It is an open-source project that accepts contributions from GitHub users.
An archived educational course repository for learning about LLMs, LLMOps and vector databases by designing, training and deploying a real-time financial advisor LLM system. It includes source code, video and reading materials, and covers a training pipeline using QLoRA and a streaming pipeline ingesting financial news. The repository was archived by its owner and is read-only.
jcode is an open-source terminal coding agent written in Rust. It supports agent swarms, background tasks, and a small RAM footprint, and is installed with one command on macOS, Linux, or Windows. Login flows connect subscription and API model providers, and the agent itself is free while hosted inference plans are available.
Jupyter AI is an open source extension that connects AI agents to computational notebooks in JupyterLab. It provides a native chat UI and integrates agents through the Agent Client Protocol, with a permission system requiring approval before files are written or commands executed. It is under incubation in the JupyterLab organization.
Kartograph.py is a Python library for rendering beautiful SVG maps. The project is currently unmaintained, but its source code remains available on GitHub. It allows users to create map visualizations programmatically.
