:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
- notebooks
- python
- data-science
- machine-learning
open-source agentic AI data assistant for the next generation of AI + Data products.
Turns Data and AI algorithms into production-ready web applications in no time.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
- bigquery
- duckdb
- llm
- postgresql
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
- ipython
- jupyter
- data-science
- python
🦉 Data Versioning and ML Experiments
- data-science
- machine-learning
- reproducibility
- data-version-control
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- agent
- ai
- automation
- data-mining
Convert Machine Learning Code Between Frameworks
- python
- tensorflow
- pytorch
- numpy
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
AI Observability & Evaluation
- llmops
- ai-monitoring
- ai-observability
- llm-eval
Low-code framework for building custom LLMs, neural networks, and other AI models
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
Open Machine Learning Course
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
Ready-to-run Docker images containing Jupyter applications