GenericMappingTools/pygmt
A Python interface for the Generic Mapping Tools.
GitHub repository with 861 stars and 244 forks.
Language: Python
Topics: earth-science, geophysics, geoscience, hacktoberfest, maps, python, seismology
A Python interface for the Generic Mapping Tools.
GitHub repository with 861 stars and 244 forks.
Language: Python
Topics: earth-science, geophysics, geoscience, hacktoberfest, maps, python, seismology
2026-06-05: 861 stars and 244 forks.
Fetchez is a lightweight, modular, and highly extendable Python framework designed to orchestrate geospatial data engineering workflows.
GitHub repository with 6 stars and 3 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: data-science, elevation-data, geospatial, gis, cli, earth-science
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
GitHub repository with 716 stars and 308 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: iris, python, netcdf, grib, visualisation, data-analysis
The agent that grows with you
GitHub repository with 181,267 stars and 31,102 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 12,868 stars and 828 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 27,320 stars and 2,248 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
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,059 stars and 20,110 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
GitHub repository with 40,774 stars and 38,952 forks.
Trending score: 4.88; stars gained: +836; forks gained: +443.
Language: Python
Topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
GitHub repository with 426 stars and 465 forks.
Trending score: 0.05; stars gained: +0; forks gained: +1.
Language: Fortran
Topics: fortran, e3sm, snl-applications, earth-science
📍 Track Indian mobile numbers and check for data breaches with a privacy-focused app featuring real-time geolocation and interactive maps.
GitHub repository with 8 stars and 8 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: TypeScript
Topics: climate-modeling, data-analysis, data-visualization, earth-science, environmental-monitoring, geographic-information-systems
Fetchez is a lightweight, modular, and highly extendable Python framework designed to orchestrate geospatial data engineering workflows.
GitHub repository with 6 stars and 3 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: data-science, elevation-data, geospatial, gis, cli, earth-science
Environmental modeling software
GitHub repository with 97 stars and 27 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: C++
Topics: earth-science, simulation, spatio-temporal-modeling, hydrology, modflow, python
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
GitHub repository with 716 stars and 308 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: iris, python, netcdf, grib, visualisation, data-analysis