neptune-api
A client library for accessing Neptune API
Decision gist · record as of 2026-08-14
No. While the package has low install friction and a permissive license, it is abandoned—the repository is archived with no updates in 219 days. Use only if you are certain the Neptune API specification has not changed and you can maintain a fork yourself. For active Neptune integration, contact Neptune.ai directly or use an officially maintained client.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; endpoints are organized by their OpenAPI tags, so you must know the tag name and endpoint function to call.
- Low install friction with a small dependency footprint (5 runtime deps).
- However, the package is abandoned—the repository is archived with no updates in 219 days, which means bugs will not be addressed.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), which allows commercial and private use with minimal restrictions; you may use and modify the code freely but must retain the license notice.
last release 2026-01-07 (219 days) · last repo commit 2026-03-30 · 2 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,408,041 downloads/mo, #3,077 on PyPI
Alternatives
Verify before relying
from neptune_api import AuthenticatedClient
from neptune_api.api.my_tag import get_my_data_model
client = AuthenticatedClient(
base_url="https://api.example.com",
token="SuperSecretToken"
)
my_data = await get_my_data_model.asyncio(client=client)- Whether the Neptune API specification this client was generated from remains current and compatible with the actual Neptune service.
- Support status: whether Neptune.ai continues to maintain the API itself despite this client library being archived.
What it is and what it does
neptune-api is an auto-generated Python client for the Neptune API, built from an OpenAPI specification. It provides both synchronous and asynchronous methods to make authenticated or unauthenticated requests to Neptune endpoints, with automatic deserialization of responses into typed model objects. The library uses httpx for HTTP transport and supports custom SSL certificate handling.
The package is organized by endpoint tags—each API endpoint becomes a callable function in a module named after its tag. You instantiate either a plain Client or AuthenticatedClient with your base URL and optional token, then import and call the endpoint functions directly. It handles request/response serialization, optional detailed response metadata, with async/await patterns. However, the repository is archived, meaning no maintenance or updates will be provided.
Use it for
- Integrate Neptune experiment tracking into Python applications that need to log metrics, parameters, or artifacts via the Neptune API.
- Build automation scripts that interact with Neptune's model registry or metadata store without writing raw HTTP requests.
- Call Neptune endpoints from async Python services where non-blocking I/O is required.
- Access Neptune's MLOps features from internal tools or CI/CD pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
While the package has low install friction and a permissive license, it is abandoned—the repository is archived with no updates in 219 days. Use only if you are certain the Neptune API specification has not changed and you can maintain a fork yourself. For active Neptune integration, contact Neptune.ai directly or use an officially maintained client.
Install
neptune-api on PyPI
Before you install
Low install friction with a small dependency footprint (5 runtime deps). However, the package is abandoned—the repository is archived with no updates in 219 days, which means bugs will not be addressed.
Requires Python 3.8 or later; endpoints are organized by their OpenAPI tags, so you must know the tag name and endpoint function to call.
License in practice
Licensed under Apache-2.0 (permissive), which allows commercial and private use with minimal restrictions; you may use and modify the code freely but must retain the license notice.
Quickstart
from neptune_api import AuthenticatedClient
from neptune_api.api.my_tag import get_my_data_model
client = AuthenticatedClient(
base_url="https://api.example.com",
token="SuperSecretToken"
)
my_data = await get_my_data_model.asyncio(client=client)Verify before relying
- Whether the Neptune API specification this client was generated from remains current and compatible with the actual Neptune service.
- Support status: whether Neptune.ai continues to maintain the API itself despite this client library being archived.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesPyJWTattrshttpxprotobufpython-dateutil |
| Maintenance | Abandoned 219 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 2,408,041 / month, #3,077 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules |
Evidence: neptune_api-0.26.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “neptune api client”
- neptune-apiA generated Python client library for the Neptune API, providing…
- mypy-boto3-neptuneProvides type annotations and IDE autocomplete support for boto3's…
- neptune-fetcherQueries and fetches experiment metadata, runs, and attributes from…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also neptune · neptune-scale · neptune-query · neptune-fetcher · benchling-api-client · python-incidentio-client · fastspec · whylabs-client · aws-cdk.aws-neptune-alpha · daytona_analytics_api_client_async