chitra VS pytest-visual

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

chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment. (by aniketmaurya)
Tensorflow Image processing object-detection Deep Learning image-dataset Visualization gradcam model-interpretation model-visualization image-classification bounding-boxes model-deployment Mlops model-serving Python Machine Learning Fastapi HacktoberFest Pytorch
Source Code
chitra.readthedocs.io
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pytest-visual

A visual testing framework for ML with automated change detection (by pytest-visual)
Deep Learning Machine Learning pytest-plugin visual-testing Visualization
Source Code
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chitra pytest-visual
1 1
223 16
0.4% -
3.2 8.7
28 days ago 23 days 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.
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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.

chitra

Posts with mentions or reviews of chitra. We have used some of these posts to build our list of alternatives and similar projects.

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 chitra and pytest-visual you can also consider the following projects:

tf-keras-vis - Neural network visualization toolkit for tf.keras

torchview - torchview: visualize pytorch models

img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

dvclive - 📈 Log and track ML metrics, parameters, models with Git and/or DVC

gallery - BentoML Example Projects 🎨

nannyml - nannyml: post-deployment data science in python

review_object_detection_metrics - Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

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

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

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

chitra vs tf-keras-vis pytest-visual vs torchview chitra vs img2dataset pytest-visual vs dvclive chitra vs gallery pytest-visual vs nannyml chitra vs review_object_detection_metrics pytest-visual vs tfgraphviz chitra vs albumentations pytest-visual vs receptive_field_analysis_toolbox chitra vs pytorch-toolbelt pytest-visual vs tf-explain