TensorFlow Lite
by Google · free · Last verified 2026-03-17
TensorFlow Lite is Google's lightweight ML framework designed for on-device inference on mobile, embedded, and IoT devices. It enables deploying trained models with minimal latency and no network dependency, supporting a wide range of hardware accelerators including GPU, DSP, and NPU.
https://www.tensorflow.org/lite ↗B+
B+—Good
Adoption: A+Quality: AFreshness: ACitations: AEngagement: F
Specifications
- License
- Apache 2.0
- Pricing
- free
- Capabilities
- on-device inference, model quantization, hardware acceleration, model conversion, edge deployment
- Integrations
- Android, iOS, Raspberry Pi, Arduino, Coral Edge TPU
- Use Cases
- mobile image classification, on-device NLP, IoT sensor analytics, real-time object detection
- API Available
- No
- SDK Languages
- python, c++, java, swift, javascript
- Deployment
- edge, mobile, embedded
- Rate Limits
- No limits — fully on-device
- Data Privacy
- All processing on-device; no data transmitted
- Tags
- edge, iot, mobile, inference, tensorflow, on-device
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
75Adoption
90
Quality
85
Freshness
80
Citations
88
Engagement
0