Meaningful-Data/sdmxthon
Library with SDMX to Pandas, Pandas to SDMX, SDMX validation and SDMX metadata validation
GitHub repository with 13 stars and 1 forks.
Language: Python
Topics: pandas, sdmx, sdmx-format, sdmx-standard, validation
Library with SDMX to Pandas, Pandas to SDMX, SDMX validation and SDMX metadata validation
GitHub repository with 13 stars and 1 forks.
Language: Python
Topics: pandas, sdmx, sdmx-format, sdmx-standard, validation
2026-06-05: 13 stars and 1 forks.
Lightweight and extensible compatibility layer between dataframe libraries!
GitHub repository with 1,628 stars and 194 forks.
Trending score: 0.91; stars gained: +5; forks gained: +1.
Language: Python
Topics: cudf, ibis, pandas, polars, pyarrow, dask
N-D labeled arrays and datasets in Python
GitHub repository with 4,156 stars and 1,273 forks.
Trending score: 0.79; stars gained: +2; forks gained: +1.
Language: Python
Topics: python, netcdf, numpy, pandas, xarray, dask
Excel-to-Neo4j knowledge graph examples: legacy py2neo v3 plus modern Neo4j GraphRAG/vector search.
GitHub repository with 578 stars and 187 forks.
Trending score: 0.45; stars gained: +1; forks gained: +0.
Language: Python
Topics: ai-agents, codex-skill, excel, graphrag, knowledge-graph, neo4j
Manipulate JSON-like data with NumPy-like idioms.
GitHub repository with 962 stars and 123 forks.
Trending score: 0.31; stars gained: +0; forks gained: +0.
Language: Python
Topics: json, numpy, data-analysis, jagged-array, ragged-array, columnar-format
Multi-agent exploratory data analysis system with autonomous insights, visualization, preprocessing, and reporting workflows.
GitHub repository with 71 stars and 2 forks.
Trending score: 0.31; stars gained: +1; forks gained: +0.
Language: Python
Topics: agentic-ai, ai, automation, data-analysis, eda, llm
A light-weight, flexible, and expressive statistical data testing library
GitHub repository with 4,361 stars and 401 forks.
Trending score: 0.28; stars gained: +0; forks gained: +0.
Language: Python
Topics: pandas, validation, schema, dataframes, testing, pandas-validation
The agent that grows with you
GitHub repository with 181,298 stars and 31,108 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,917 stars and 831 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,327 stars and 2,249 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,315 stars and 28,045 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Lightweight and extensible compatibility layer between dataframe libraries!
GitHub repository with 1,628 stars and 194 forks.
Trending score: 0.91; stars gained: +5; forks gained: +1.
Language: Python
Topics: cudf, ibis, pandas, polars, pyarrow, dask
N-D labeled arrays and datasets in Python
GitHub repository with 4,156 stars and 1,273 forks.
Trending score: 0.79; stars gained: +2; forks gained: +1.
Language: Python
Topics: python, netcdf, numpy, pandas, xarray, dask
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
GitHub repository with 2,378 stars and 193 forks.
Trending score: 0.67; stars gained: +2; forks gained: +2.
Language: C++
Topics: big-data, data, data-analysis, data-science, database, pandas
Excel-to-Neo4j knowledge graph examples: legacy py2neo v3 plus modern Neo4j GraphRAG/vector search.
GitHub repository with 578 stars and 187 forks.
Trending score: 0.45; stars gained: +1; forks gained: +0.
Language: Python
Topics: ai-agents, codex-skill, excel, graphrag, knowledge-graph, neo4j
cuDF - GPU DataFrame Library
GitHub repository with 9,650 stars and 1,067 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: C++
Topics: gpu, rapids, cudf, arrow, cuda, pandas
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
GitHub repository with 2,637 stars and 207 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: data-science, python, data, data-visualization, data-analysis, jupyter