dvclive VS pytest-visual

Compare dvclive vs pytest-visual and see what are their differences.

dvclive

📈 Log and track ML metrics, parameters, models with Git and/or DVC (by iterative)

pytest-visual

A visual testing framework for ML with automated change detection (by pytest-visual)
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dvclive pytest-visual
5 1
153 16
2.0% -
8.9 8.7
9 days ago about 2 months ago
Python Python
Apache License 2.0 MIT 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.

dvclive

Posts with mentions or reviews of dvclive. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-15.

pytest-visual

Posts with mentions or reviews of pytest-visual. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Elevate Your ML Testing with pytest-visual
    1 project | /r/MachineLearning | 27 Oct 2023
    I’ve developed a tool called pytest-visual, aiming to make ML code testing more efficient and meaningful. Traditional unit testing often misses visual and functional aspects of ML workflows such as data augmentation and model structures.

What are some alternatives?

When comparing dvclive and pytest-visual you can also consider the following projects:

phoenix - AI Observability & Evaluation

chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

torchview - torchview: visualize pytorch models

dvc - 🦉 ML Experiments and Data Management with Git

nannyml - nannyml: post-deployment data science in python

OpenLLM - Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.

tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard

receptive_field_analysis_toolbox - A toolbox for receptive field analysis and visualizing neural network architectures

tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x