trains-server | TRAINS Server - Auto-Magical Experiment Manager | Machine Learning library

 by   allegroai Python Version: 0.16.1 License: Non-SPDX

kandi X-RAY | trains-server Summary

kandi X-RAY | trains-server Summary

trains-server is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Docker, Ubuntu applications. trains-server has no bugs, it has no vulnerabilities and it has low support. However trains-server build file is not available and it has a Non-SPDX License. You can download it from GitHub.

The trains-server is the backend service infrastructure for Trains. It allows multiple users to collaborate and manage their experiments. By default, Trains is set up to work with the Trains demo server, which is open to anyone and resets periodically. In order to host your own server, you will need to launch trains-server and point Trains to it.

            kandi-support Support

              trains-server has a low active ecosystem.
              It has 164 star(s) with 58 fork(s). There are 29 watchers for this library.
              It had no major release in the last 12 months.
              There are 15 open issues and 42 have been closed. On average issues are closed in 38 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of trains-server is 0.16.1

            kandi-Quality Quality

              trains-server has 0 bugs and 0 code smells.

            kandi-Security Security

              trains-server has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              trains-server code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              trains-server has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              trains-server releases are available to install and integrate.
              trains-server has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

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            trains-server Key Features

            No Key Features are available at this moment for trains-server.

            trains-server Examples and Code Snippets

            No Code Snippets are available at this moment for trains-server.

            Community Discussions

            Trending Discussions on trains-server


            Can ClearML (formerly Trains) work a local server?
            Asked 2020-Dec-31 at 15:03

            I am trying to start my way with ClearML (formerly known as Trains).

            I see on the documentation that I need to have server running, either on the ClearML platform itself, or on a remote machine using AWS etc.

            I would really like to bypass this restriction and run experiments on my local machine, not connecting to any remote destination.

            According to this I can install the trains-server on any remote machine, so in theory I should also be able to install it on my local machine, but it still requires me to have Kubernetes or Docker, but I am not using any of them.

            Anyone had any luck using ClearML (or Trains, I think it's still quite the same API and all) on a local server?

            • My OS is Ubuntu 18.04.


            Answered 2020-Dec-30 at 16:18

            Disclaimer: I'm a member of the ClearML team (formerly Trains)

            I would really like to bypass this restriction and run experiments on my local machine, not connecting to any remote destination.

            A few options:

            1. The Clearml Free trier offers free hosting for your experiments, these experiment are only accessible to you, unless you specifically want to share them among your colleagues. This is probably the easiest way to get started.
            2. Install the ClearML-Server basically all you need is docker installed and you should be fine. There are full instructions here , this is the summary:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install trains-server

            In v0.16, the Elasticsearch subsystem of Trains Server has been upgraded from version 5.6 to version 7.6. This change necessitates the migration of the database contents to accommodate the change in index structure across the different versions. Follow this procedure to migrate existing data.


            If you have any questions, look to the Trains FAQ, or tag your questions on stackoverflow with 'trains' tag. For feature requests or bug reports, please use GitHub issues. Additionally, you can always find us at
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          • HTTPS


          • CLI

            gh repo clone allegroai/trains-server

          • sshUrl


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