#typescript #ai_for_science #ai_research #ai_workbench #bioinformatics #claude_science_alternative #desktop_app #electron #linux #local_first #macos #mcp #model_agnostic #open_science #python #r #reproducible_research #research_software #research_workbench #scientific_ai #windows
AIPOCH Open Science is a local-first, open-source AI workbench for research on macOS, Windows, and Linux. It helps you plan, run, and track research in one place with files, code, data tools, reports, and clear proof of how results were made. The benefit to you is simpler, safer, and more repeatable research with less lost work and easier checking of results.
https://github.com/aipoch/open-science
AIPOCH Open Science is a local-first, open-source AI workbench for research on macOS, Windows, and Linux. It helps you plan, run, and track research in one place with files, code, data tools, reports, and clear proof of how results were made. The benefit to you is simpler, safer, and more repeatable research with less lost work and easier checking of results.
https://github.com/aipoch/open-science
GitHub
GitHub - aipoch/open-science: The open-source AI research workbench for scientific research and agent workflows. Local-first, model…
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and t...
#python #investment #quant #quantitative #quantitative_finance #trading
FinHack is a flexible tool for quantitative finance that helps with data collection, factor research, machine learning, strategy building, backtesting, and live trading. It is useful because it can save time, support different markets, and let you test ideas faster with tools for A-shares, U.S. stocks, futures, and crypto, plus multi-process speed and custom rules.
https://github.com/FinHackCN/finhack
FinHack is a flexible tool for quantitative finance that helps with data collection, factor research, machine learning, strategy building, backtesting, and live trading. It is useful because it can save time, support different markets, and let you test ideas faster with tools for A-shares, U.S. stocks, futures, and crypto, plus multi-process speed and custom rules.
https://github.com/FinHackCN/finhack
GitHub
GitHub - FinHackCN/finhack: FinHack®,一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
FinHack®,一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。 - FinHackCN/finhack
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