feed-visualizer VS aim

Compare feed-visualizer vs aim and see what are their differences.

feed-visualizer

Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server. (by code2k13)
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feed-visualizer aim
3 70
23 4,797
- 1.8%
1.8 8.0
about 1 year ago 5 days ago
HTML Python
Apache License 2.0 Apache License 2.0
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.

feed-visualizer

Posts with mentions or reviews of feed-visualizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-08.

aim

Posts with mentions or reviews of aim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

What are some alternatives?

When comparing feed-visualizer and aim you can also consider the following projects:

hal9 - Hal9 — Programmatic access to Hal9

tensorboard - TensorFlow's Visualization Toolkit

stripnet - STriP Net: Semantic Similarity of Scientific Papers (S3P) Network

dvc - 🦉 ML Experiments and Data Management with Git

wayback-machine-downloader - Download an entire website from the Wayback Machine.

guildai - Experiment tracking, ML developer tools

datascience - Curated list of Python resources for data science.

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!