ai-edge-litert-nightly
LiteRT is for mobile and embedded devices.
Decision gist · record as of 2026-08-14
Yes, if you are actively developing or testing ML inference on mobile/embedded platforms and are comfortable with nightly builds. The package is actively maintained, has no known vulnerabilities, and offers permissive licensing. However, avoid it for production deployments requiring stability—use a stable release instead. The medium install friction is acceptable given the precompiled wheels for common platforms.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a compatible Python version (3.10–3.14 based on available wheels) and a supported operating system (Linux manylinux_2_27 or Windows x86_64).
- This is a nightly development build released daily.
- Medium install friction reflects precompiled wheels for Python 3.10–3.14 on Linux and Windows, but the dev version status means it may contain breaking changes or incomplete features compared to stable releases.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 184,677 downloads/mo, #10,027 on PyPI
Alternatives
Verify before relying
pip install ai-edge-litert-nightly
import litert
# Load and run a model on device
model = litert.Interpreter(model_path='model.tflite')
model.allocate_tensors()
model.invoke()- Whether this nightly build is intended for production use or development/testing only
- Stability guarantees and breaking-change policy for nightly releases
- Performance characteristics and supported model architectures
- Exact Python version support (requires_python is unspecified)
What it is and what it does
LiteRT is Google's official runtime for executing machine learning models on mobile and embedded devices. It provides optimized inference with low latency and a small footprint, enabling on-device ML without cloud dependencies. The package wraps a compiled runtime and depends on numpy, protobuf, flatbuffers, and related utilities for tensor manipulation and model loading.
This is a nightly development build, meaning it receives daily updates and may include experimental features or breaking changes. It targets developers building ML applications for Android, iOS, and other edge platforms who need to run inference directly on the device rather than through a server.
Use it for
- Run trained TensorFlow Lite models for inference on mobile phones and tablets without network latency.
- Deploy ML models to embedded systems and IoT devices with constrained memory and CPU.
- Build real-time computer vision or audio processing applications that execute locally on-device.
- Test and validate model behavior in a nightly development environment before stable release.
- Integrate pre-trained models into Android or iOS applications using Python bindings.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are actively developing or testing ML inference on mobile/embedded platforms and are comfortable with nightly builds.
The package is actively maintained, has no known vulnerabilities, and offers permissive licensing. However, avoid it for production deployments requiring stability—use a stable release instead. The medium install friction is acceptable given the precompiled wheels for common platforms.
Install
ai-edge-litert-nightly on PyPI
Before you install
This is a nightly development build released daily. Medium install friction reflects precompiled wheels for Python 3.10–3.14 on Linux and Windows, but the dev version status means it may contain breaking changes or incomplete features compared to stable releases.
Requires a compatible Python version (3.10–3.14 based on available wheels) and a supported operating system (Linux manylinux_2_27 or Windows x86_64).
License in practice
Licensed under Apache 2.0, a permissive open-source license that allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install ai-edge-litert-nightly
import litert
# Load and run a model on device
model = litert.Interpreter(model_path='model.tflite')
model.allocate_tensors()
model.invoke()Verify before relying
- Whether this nightly build is intended for production use or development/testing only
- Stability guarantees and breaking-change policy for nightly releases
- Performance characteristics and supported model architectures
- Exact Python version support (requires_python is unspecified)
Package facts
| License | Apache 2.0 permissive |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 7 packagesbackports.strenumflatbuffersnumpytqdmtyping-extensionsprotobufml_dtypes |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 184,677 / month, #10,027 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: MathematicsTopic :: Software DevelopmentTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python Modules |
Evidence: ai_edge_litert_nightly-2.2.0.dev20260814-cp310-cp310-manylinux_2_27_x86_64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp310-cp310-win_amd64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp311-cp311-manylinux_2_27_x86_64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp311-cp311-win_amd64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp312-cp312-manylinux_2_27_x86_64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp312-cp312-win_amd64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp313-cp313-manylinux_2_27_x86_64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp313-cp313-win_amd64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp314-cp314-manylinux_2_27_x86_64.whl; ai_edge_litert_nightly-2.2.0.dev20260814-cp314-cp314-win_amd64.whl
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See also ai-edge-litert · litert-converter · ai-edge-quantizer · litert-lm-builder · tflite-runtime · litert-torch · mnn · mediapipe · edge-mdt-cl · coremltools