instatext VS magnitude

Compare instatext vs magnitude and see what are their differences.

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instatext magnitude
1 5
9 1,611
- 0.0%
4.4 0.0
about 3 years ago 9 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.

instatext

Posts with mentions or reviews of instatext. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

magnitude

Posts with mentions or reviews of magnitude. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

What are some alternatives?

When comparing instatext and magnitude you can also consider the following projects:

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

skift - scikit-learn wrappers for Python fastText.

faiss - A library for efficient similarity search and clustering of dense vectors.

pgvector - Open-source vector similarity search for Postgres

finalfusion-rust - finalfusion embeddings in Rust

Milvus - A cloud-native vector database, storage for next generation AI applications

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.

pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Romanian-Word-Embeddings - Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).

sentence-transformers - Multilingual Sentence & Image Embeddings with BERT