Showing 6 open source projects for "continue"

View related business solutions
  • Veeam Data Platform v13.1 Icon
    Veeam Data Platform v13.1

    Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

    Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
    Try Now
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Start Free
  • 1
    vcr

    vcr

    Record your test suite's HTTP interactions and replay them

    ...VCR will replay the response from iana.org when the HTTP request is made. This test is now fast (no real HTTP requests are made anymore), deterministic (the test will continue to pass, even if you are offline, or iana.org goes down for maintenance) and accurate (the response will contain the same headers and body you get from a real request). You can use a different cassette library directory (e.g., "test/vcr_cassettes"). The recorded requests and responses are stored on disk in a serialization format of your choice (currently YAML and JSON are built in, and you can easily implement your own custom serializer) and can easily be inspected and edited.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    React Slingshot

    React Slingshot

    React + Redux starter kit and boilerplate with Babel

    ...Automated production build, to type npm run build to do it all. Run the automated build process, start up a webserver, and open the application in your default browser. When doing development with this kit, this command will continue watching all your files. Every time you hit save the code is rebuilt, linting runs, and tests run automatically.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Database Benchmark
    The project is moved to GitHub: https://github.com/STSSoft/DatabaseBenchmark. We will continue to upload the source and binaries here, but the code repository will be innactive. Database Benchmark is one of the most powerfull open source tools designed to stress test database management systems with large data flows. The application performs two main test scenarios: - Insertion of large amount of randomly generated records with sequential or random keys; - Read of the inserted records, ordered by their keys. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    NOTE: This project is not actively maintained at the moment. If you'd like to continue developing Jacareto, please send an e-mail to: wikipedian@users.sf.net Jacareto is a capture & replay tool for programs written in Java. You can capture actions on applications and replay them later on (like macros). Jacareto can be used for GUI tests, the creation of animated demonstrations, and analyses of user behavior.
    5.0 out of 5 stars 1 Review
    Downloads: 0 This Week
    Last Update:
    See Project
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Start Free
  • 5
    Pojo generator is a framework that will generate data for your domain model. This is very usefull when for instantce database isn't up yet, end you want to continue to develop the frontend of the application.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6

    Alchemist plugin

    Alchemist GCC/LLVM plugin for code analysis and tuning

    News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next