Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
: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.
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.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Fast and Accurate ML in 3 Lines of Code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
the portable Python dataframe library
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Scalable and user friendly neural :brain: forecasting algorithms.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
Feature engineering and selection open-source Python library compatible with sklearn.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Lightweight and extensible compatibility layer between dataframe libraries!
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
moDel Agnostic Language for Exploration and eXplanation
Scalable machine 🤖 learning for time series forecasting.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
NFStream: a Flexible Network Data Analysis Framework.
Scalable, event-driven, deep-learning-friendly backtesting library
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Python DataFrames as Interactive DataTables
Flexible command line tool to create graphs from CSV data
Keep code, data, containers under control with git and git-annex