tweetopic
Blazing fast short-text-topic-modelling for Python.
- Status
- UnmaintainedNo commits in 811 days.
- Last checked
- Aging · Sep 5, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Tweetopic is a high-performance library designed to perform topic modeling on short texts using Python. It's ideal for developers and data scientists who need quick, accurate insights from social media or other short text datasets.
Tweetopic stands out as a highly optimized Python library for short-text topic modeling, providing fast and accurate results directly within the developer's local environment.
When it fits — and when it doesn’t
A good fit for
Data analysts who need to quickly identify topics from large volumes of short text data
Researchers studying social media trends and sentiment analysis
Developers building applications that require real-time topic extraction from user-generated content
Look elsewhere if
Projects requiring integration with non-Python environments
Applications needing cloud-based deployment without local setup
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Performance degradation with very large datasets
High memory usage observed when processing over 1 million short texts
What it does well
High-performance topic modeling for short texts
Optimized for Python environments
Easy to integrate into existing data science workflows
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up tweetopic
Setup steps, common gotchas and what to check after 30 days.