Showing 3 open source projects for "https file server"

View related business solutions
  • Earn up to 15% annual interest with Nexo. Icon
    Earn up to 15% annual interest with Nexo.

    Let your crypto work for you

    Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
    Get started with Nexo.
  • Earn up to 15% annual interest with Nexo. Icon
    Earn up to 15% annual interest with Nexo.

    Access competitive interest rates on your digital assets.

    Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
    Get started with Nexo.
  • 1
    Cog

    Cog

    Package and deploy machine learning models using Docker containers

    ...Cog automatically generates a RESTful HTTP API for running predictions, enabling models to be accessed programmatically through a built-in prediction server.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    Code2Prompt

    Code2Prompt

    Convert codebases into structured prompts optimized for LLM analysis

    ...It also respects common project conventions such as .gitignore, ensuring that unnecessary files are automatically excluded from the generated prompt. The generated output can be saved to a file, printed to standard output, or copied to the clipboard for immediate use. In addition to the core command line interface, the project also includes a library, Python bindings, and an MCP server.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 3
    Extractous

    Extractous

    Fast and efficient unstructured data extraction

    Extractous is a Rust-based unstructured data extraction library focused on fast local parsing of documents and other content-heavy files. Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next