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Showing 4 open source projects for "source code"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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MacPHREEQC
macOS version of the USGS geochemical modeling code PHREEQC
The macOS version of PHREEQC, a program developed by the U.S. Geological Survey for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations -
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DeepSee
Visualize deep ocean biogeochemical sediment samples in 2D and 3D!
DeepSee is an interactive workspace for deep ocean scientists to upload sediment core data and map images and see their sampling history displayed across multiple connected views at once! 🦑🦀🐚 🚀 For a live demo, visit: https://www.its.caltech.edu/~datavis/deepsee/ 🌱 To get started, visit our Wiki: https://sourceforge.net/p/deepsee/wiki/Home/ 🧑💻 To modify DeepSee for your own project, visit our GitHub repository: https://github.com/orphanlab/DeepSee/ --- Created by Adam Coscia,... -
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The application Bio7 is an integrated development environment for ecological modelling and contains powerful tools for model creation, scientific image analysis and statistical analysis. The application itself is based on an RCP-Eclipse-Environment (Rich-Client-Platform) which offers a huge flexibility in configuration and extensibility because of its plug-in structure and the possibility of customization.
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Project moved to Google Code since SourceForce is a broken, buggy, non-responsive service. I had to re-log in over 100 times just to change this description. Please visit the project at http://code.google.com/p/starflighttlc/ for the latest version of th
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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