Showing 4 open source projects for "backend"

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    FontForge Windows builds

    FontForge Windows builds

    Unofficial Windows builds of FontForge

    ...New in 01/03/2020: * Updated to latest master, now built with CMake. (prerelease) New in 02/06/2019: * The 32-bit build now uses Python 3 (3.7) instead of Python 2. No further Python 2 builds will be provided. * The GDK3 backend is now used. VcXsrv is no longer bundled. New in 31/07/2017: KNOWN ISSUES: * CTRL-C from console no longer interrupts/stops FontForge
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    Downloads: 39 This Week
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  • 2
    Full Stack FastAPI Couchbase

    Full Stack FastAPI Couchbase

    Full stack, modern web application generator

    ...Using FastAPI, Couchbase as a database, Docker, automatic HTTPS, and more. Couchbase has a great set of features that is not easily or commonly found in alternatives. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, or whatever you want, and just test that the API works). Load balancing between frontend and backend with Traefik, so you can have both under the same domain, separated by path, but served by different containers.
    Downloads: 4 This Week
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  • 3
    pyspider

    pyspider

    A powerful Spider(Web Crawler) system in Python

    pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and...
    Downloads: 0 This Week
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  • 4
    QAL

    QAL

    Query Abstraction Layer

    ...JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).
    Downloads: 0 This Week
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