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Label Sleuth

Open source no-code system for text annotation and building text classifiers
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What is Label Sleuth?

It is an open-source no-code system for text annotation and building text classifiers. With this, domain experts can quickly create custom Natural Language Processing (NLP) models by themselves, with no dependency on NLP experts. No AI knowledge needed; from task definition to working model in just a few hours!
Label Sleuth is a tool in the NLP / Sentiment Analysis category of a tech stack.
Label Sleuth is an open source tool with 234 GitHub stars and 39 GitHub forks. Here’s a link to Label Sleuth's open source repository on GitHub

Label Sleuth Integrations

Python, Linux, Windows, macOS, and Anaconda are some of the popular tools that integrate with Label Sleuth. Here's a list of all 5 tools that integrate with Label Sleuth.

Label Sleuth's Features

  • Extensible architecture
  • Open source
  • No AI knowledge needed
  • From task definition to working model in just a few hours

Label Sleuth Alternatives & Comparisons

What are some alternatives to Label Sleuth?
Bubble
It is a visual programming language that lets you build a fully-functional web app without writing code. Users have built marketplaces, CRM tools, social networks. Engineers can focus on new features and add them as plugins with code, while business people can focus on the customer-facing product.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
Transformers
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
Coda
It is a new doc for teams. It begins with a blinking cursor and grows as big as your team’s ambition. Coda docs do everything from run weekly meetings to launch products.
See all alternatives
Related Comparisons
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Label Sleuth's Followers
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