prometheus_flask_exporter VS ignite

Compare prometheus_flask_exporter vs ignite and see what are their differences.

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. (by pytorch)
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prometheus_flask_exporter ignite
2 3
622 4,455
- 0.7%
5.1 8.7
7 days ago 3 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

prometheus_flask_exporter

Posts with mentions or reviews of prometheus_flask_exporter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-31.

ignite

Posts with mentions or reviews of ignite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.
  • Introducing PyTorch-Ignite's Code Generator v0.2.0
    2 projects | dev.to | 31 Aug 2021
    Along with the PyTorch-Ignite 0.4.5 release, we are excited to announce the new release of the web application for generating PyTorch-Ignite's training pipelines. This blog post is an overview of the key features and updates of the Code Generator v0.2.0 project release.
  • Distributed Training Made Easy with PyTorch-Ignite
    7 projects | dev.to | 10 Aug 2021
    PyTorch-Ignite's ignite.distributed (idist) submodule introduced in version v0.4.0 (July 2020) quickly turns single-process code into its data distributed version.
  • Introduction to PyTorch-Ignite
    1 project | dev.to | 10 Aug 2021
    More details about distributed helpers provided by PyTorch-Ignite can be found in the documentation. A complete example of training on CIFAR10 can be found here.

What are some alternatives?

When comparing prometheus_flask_exporter and ignite you can also consider the following projects:

fixinventory - Fix Inventory consolidates user, resource, and configuration data from your cloud environments into a unified, graph-based asset inventory.

torch-metrics - Metrics for model evaluation in pytorch

ansible-node-exporter - Provision basic metrics exporter for prometheus monitoring tool

image-similarity-measures - :chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

prometheus-switchbot-exporter - A Prometheus exporter for SwitchBot Meter devices.

xla - Enabling PyTorch on XLA Devices (e.g. Google TPU)

flask-com-grafana

code-generator - Web Application to generate your training scripts with PyTorch Ignite

query-exporter - Export Prometheus metrics from SQL queries

pymetrix - A simple Plug and Play Library for getting analytics. See website for docs.

nordvpn-exporter - Simple NordVPN Prometheus Exporter :computer:

idist-snippets