clearml-server | Magical Suite of tools to streamline your ML workflow | Machine Learning library

 by   allegroai Python Version: v1.11.0 License: Non-SPDX

kandi X-RAY | clearml-server Summary

kandi X-RAY | clearml-server Summary

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

The ClearML Server is the backend service infrastructure for ClearML. It allows multiple users to collaborate and manage their experiments. ClearML offers a free hosted service, which is maintained by ClearML and open to anyone. In order to host your own server, you will need to launch the ClearML Server and point ClearML to it.

            kandi-support Support

              clearml-server has a low active ecosystem.
              It has 306 star(s) with 109 fork(s). There are 31 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 75 open issues and 92 have been closed. On average issues are closed in 187 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of clearml-server is v1.11.0

            kandi-Quality Quality

              clearml-server has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              clearml-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

              clearml-server releases are available to install and integrate.
              clearml-server has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 22336 lines of code, 1468 functions and 196 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed clearml-server and discovered the below as its top functions. This is intended to give you an instant insight into clearml-server implemented functionality, and help decide if they suit your requirements.
            • Gets task_metric events
            • Context manager to translate errors
            • Handle bulk errors
            • Process bulk meta error
            • Return a list of objects that match the query
            • Get collation override for a given field
            • Get all fields with instance
            • Determine if a query field exists for a given order
            • Get the metrics for the task
            • Edit a task
            • Delete fileserver URLs
            • Merges a project into a single project
            • Update a batch
            • Move a project to another
            • Get metrics for a specific metric
            • Batch delete operation
            • Get all projects
            • Update task statistics
            • Parse projection field
            • Download task logs
            • Run before the request
            • Handle a single call
            • Start all migrations
            • Get task events
            • Validate credentials
            • Export to a zip file
            Get all kandi verified functions for this library.

            clearml-server Key Features

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

            clearml-server Examples and Code Snippets

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

            Community Discussions


            ClearML SSH port forwarding fileserver not available in WEB Ui
            Asked 2021-Jan-11 at 18:39

            Trying to use clearml-server on own Ubuntu 18.04.5 with SSH Port Forwarding and not beeing able to see my debug samples.

            My setup:

            • ClearML server on hostA
            • SSH Tunnel connections to access Web App from working machine via localhost:18080
            • Web App: ssh -N -L 18081: user@hostA
            • Fileserver: ssh -N -L 18081: user@hostA

            In Web App under Task->Results->Debug Samples the Images are still refrenced by localhost:8081

            Where can I set the fileserver URL to be localhost:18081 in Web App? I tried ~/clearml.conf, but this did not work ( I think it is for my python script ).



            Answered 2021-Jan-11 at 18:39

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

            In ClearML, debug images' URL is registered once they are uploaded to the fileserver. The WebApp doesn't actually decide on the URL for each debug image, but rather obtains it for each debug image from the server. This allows you to potentially upload debug images to a variety of storage targets, ClearML File Server simply being the most convenient, built-in option.

            So, the WebApp will always look for localhost:8008 for debug images that have already been uploaded to the fileserver and contain localhost:8080 in their URL. A possible solution is to simply add another tunnel in the form of ssh -N -L 8081: user@hostA.

            For future experiments, you can choose to keep using 8081 (and keep using this new tunnel), or to change the default fileserver URL in clearml.conf to point to port localhost:18081, assuming you're running your experiments from the same machine where the tunnel to 18081 exists.



            ClearML server IP address not used with localhost and SSH port forwarding
            Asked 2021-Jan-10 at 18:24

            Trying to use clearml-server on own Ubuntu 18.04.5.

            I use env variables to set the IP Address of my clearml-server.



            Answered 2021-Jan-10 at 18:24

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

            Basically the docker-compose will expose only the API/Web/File server , you can further limit the exposure to your localhost only, by changing the following section in your ClearML server docker-compose.yml


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


            No vulnerabilities reported

            Install clearml-server

            You can download it from GitHub.
            You can use clearml-server like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            If you have any questions, look to the ClearML FAQ, or tag your questions on stackoverflow with 'clearml' tag. For feature requests or bug reports, please use GitHub issues. Additionally, you can always find us at
            Find more information at:

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          • HTTPS


          • CLI

            gh repo clone allegroai/clearml-server

          • sshUrl


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