Apache cTAKES
NLP platform for processing clinical text in healthcare.
- Status
- Generally available
- Last checked
- Checked · Oct 13, 2026
- License
- Open source
- Pricing
- Free tier
What it is
Apache cTAKES is an open-source Natural Language Processing (NLP) platform specifically designed for extracting information from electronic health records (EHRs). It is built on the UIMA framework and utilizes machine learning models to perform tasks such as named entity recognition, temporal information extraction, and more. cTAKES is primarily implemented in Java and leverages the Unified Medical Language System (UMLS) for medical terminology. It is suitable for bioinformatics and clinical research applications.
Specialized focus on clinical text processing with integration of UMLS.
When it fits — and when it doesn’t
A good fit for
Healthcare research projects
Designed to process and analyze clinical text effectively
Institutions with existing Java infrastructure
Java-based implementation aligns with their tech stack
Look elsewhere if
Teams using non-Java languages
Tool is primarily Java-based, limiting integration with other languages
Projects needing rapid deployment
Complex setup and learning curve may delay implementation
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited to Java
Primarily implemented in Java
- 02
Complex setup
Requires understanding of UIMA and medical terminologies
- 03
Small contributor base
Only 7 contributors on GitHub
What it does well
Specialized for clinical text
Focus on EHRs and integration with UMLS
Open-source and community-driven
Licensed under Apache-2.0 and hosted on GitHub
Comprehensive NLP capabilities
Supports named entity recognition and temporal information extraction
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- N/A
- Enterprise plan
- No
Pricing last confirmed Sep 29, 2026.
Performance benchmarks
How Fast Is It?
Set up Apache cTAKES
Setup steps, common gotchas and what to check after 30 days.
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