tensorflow-estimator
TensorFlow Estimator.
Decision gist · record as of 2026-08-14
No—the repository is archived and abandoned as of 2024-01-23, with no active maintenance or security updates. While the package itself has no known vulnerabilities and is permissively licensed, the lack of maintenance means compatibility issues with future Python or TensorFlow releases are likely to go unaddressed. Use the current TensorFlow package's built-in Estimator support instead, or consider modern alternatives if starting a new project.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- TensorFlow itself must be installed separately; this package is a component of the broader TensorFlow ecosystem and does not function standalone.
- Installation is straightforward as a pure-Python wheel with no runtime dependencies.
- However, the repository is archived and abandoned as of the last commit on 2024-01-23, meaning no active maintenance or security updates are being released.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), allowing broad use, modification, and distribution with minimal restrictions—suitable for commercial and open-source projects alike.
last release 2023-11-07 (1011 days) · last repo commit 2024-01-23 · 297 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 10,050,776 downloads/mo, #1,488 on PyPI
Alternatives
Verify before relying
pip install tensorflow-estimator==2.15.0
import tensorflow_estimator
# Estimator APIs are typically accessed via the main TensorFlow package
import tensorflow as tf
estimator = tf.estimator.LinearClassifier(feature_columns=[])- Whether version 2.15.0 is compatible with current TensorFlow releases and modern Python versions beyond 3.10.
- Whether the abandoned repository status affects security patching or compatibility with future Python or TensorFlow versions.
- What the actual runtime dependency chain is when used with a TensorFlow installation.
What it is and what it does
TensorFlow Estimator is a high-level API layer built on top of TensorFlow that simplifies machine learning workflows by encapsulating training, evaluation, prediction, and model export into a unified interface. It abstracts away much of the low-level TensorFlow complexity, making it easier for developers to build and deploy models without writing extensive boilerplate code.
The package is distributed as a pure-Python wheel with no direct runtime dependencies listed, though it is designed to be used as part of the TensorFlow ecosystem. According to the description, it is installed automatically when you install the main TensorFlow package. The repository is now archived and abandoned, with the last commit in January 2024, meaning no new features or security updates are being developed.
Use it for
- Building and training classification or regression models using pre-built Estimator classes like LinearClassifier or DNNClassifier.
- Evaluating trained models on test data and generating standard metrics without manual evaluation loops.
- Exporting trained models for serving in production environments via the Estimator export interface.
- Rapid prototyping of machine learning pipelines when you need a simpler API than raw TensorFlow operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—the repository is archived and abandoned as of 2024-01-23, with no active maintenance or security updates.
While the package itself has no known vulnerabilities and is permissively licensed, the lack of maintenance means compatibility issues with future Python or TensorFlow releases are likely to go unaddressed. Use the current TensorFlow package's built-in Estimator support instead, or consider modern alternatives if starting a new project.
Install
tensorflow-estimator on PyPI
Before you install
Installation is straightforward as a pure-Python wheel with no runtime dependencies. However, the repository is archived and abandoned as of the last commit on 2024-01-23, meaning no active maintenance or security updates are being released.
TensorFlow itself must be installed separately; this package is a component of the broader TensorFlow ecosystem and does not function standalone.
License in practice
Licensed under Apache 2.0 (permissive), allowing broad use, modification, and distribution with minimal restrictions—suitable for commercial and open-source projects alike.
Quickstart
pip install tensorflow-estimator==2.15.0
import tensorflow_estimator
# Estimator APIs are typically accessed via the main TensorFlow package
import tensorflow as tf
estimator = tf.estimator.LinearClassifier(feature_columns=[])Verify before relying
- Whether version 2.15.0 is compatible with current TensorFlow releases and modern Python versions beyond 3.10.
- Whether the abandoned repository status affects security patching or compatibility with future Python or TensorFlow versions.
- What the actual runtime dependency chain is when used with a TensorFlow installation.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,011 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 10,050,776 / month, #1,488 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 :: 3.7Programming 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: tensorflow_estimator-2.15.0-py2.py3-none-any.whl
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See also tf-estimator-nightly · azureml-train-core · tf-keras-nightly · tensorflow-model-optimization · tensorflow-probability · tensorflow-recommenders · diastatic-malt · tensorboard · tfp-nightly · tb-nightly