tapipy
Python lib for interacting with an instance of the Tapis API Framework
Decision gist · record as of 2026-08-14
Yes. Tapipy is actively maintained, has no known vulnerabilities, and offers low installation friction. It is the natural choice if you need to interact with Tapis services from Python—it eliminates boilerplate authentication and HTTP handling. The permissive BSD-4-Clause license poses no restriction. Install it if you are working with a Tapis instance; skip it only if you are building against a different API framework.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires network access to a running Tapis instance and valid tenant credentials; OpenAPI spec files are downloaded and cached at initialization.
- Low install friction with a pure-wheel distribution.
- Actively maintained with recent commits and no known vulnerabilities.
License · maintenance · safety
BSD-4-Clause (permissive) — Licensed under BSD-4-Clause with permissive treatment, allowing commercial and private use with minimal restrictions.
last release 2025-12-03 (254 days) · last repo commit 2026-05-19 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 83,592 downloads/mo, #14,064 on PyPI
Alternatives
Verify before relying
pip install tapipy
from tapipy.tapis import Tapis
t = Tapis(base_url='https://tacc.tapis.io', username='user', password='pass')
t.get_tokens()
result = t.sk.hasRole(tenant='dev', user='testuser', roleName='admin')- Whether spec caching behavior and cache invalidation strategy are suitable for production use cases with frequently-updated service definitions.
- Performance characteristics when working with large numbers of Tapis service endpoints or complex nested API calls.
What it is and what it does
Tapipy is a Python SDK that bridges your code to Tapis API Framework services by automatically generating client bindings from OpenAPI specifications. You initialize a Tapis object with your tenant URL and credentials, call get_tokens() to authenticate, and then invoke service methods directly on the object—for example, t.sk.hasRole() or t.jobs.getJobSearchList(). The library handles token refresh automatically, so your authenticated session stays valid without manual intervention.
The SDK supports customization through resource sets (master or dev), custom spec dictionaries for overriding or adding service definitions, and local spec files. It uses cloudpickle to cache downloaded OpenAPI specs, reducing initialization overhead on subsequent runs. Special keyword arguments _tapis_headers and _tapis_query_parameters let you pass parameters not defined in the OpenAPI spec, useful for search endpoints and other dynamic query needs.
Use it for
- Authenticate and interact with TACC's Tapis services (SK, jobs, etc.) from Python scripts or applications.
- Build automation tools that need to query job status, manage roles, or interact with multiple Tapis microservices.
- Integrate Tapis API calls into data processing pipelines where token management and service discovery must be automatic.
- Develop client applications against a custom Tapis deployment by pointing to local or alternative OpenAPI spec files.
- Test Tapis service endpoints programmatically without writing raw HTTP requests or managing authentication tokens manually.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Tapipy is actively maintained, has no known vulnerabilities, and offers low installation friction. It is the natural choice if you need to interact with Tapis services from Python—it eliminates boilerplate authentication and HTTP handling. The permissive BSD-4-Clause license poses no restriction. Install it if you are working with a Tapis instance; skip it only if you are building against a different API framework.
Install
tapipy on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained with recent commits and no known vulnerabilities. Depends on 14 runtime packages including openapi_core and requests, all standard and well-maintained libraries.
Requires network access to a running Tapis instance and valid tenant credentials; OpenAPI spec files are downloaded and cached at initialization.
License in practice
Licensed under BSD-4-Clause with permissive treatment, allowing commercial and private use with minimal restrictions.
Quickstart
pip install tapipy
from tapipy.tapis import Tapis
t = Tapis(base_url='https://tacc.tapis.io', username='user', password='pass')
t.get_tokens()
result = t.sk.hasRole(tenant='dev', user='testuser', roleName='admin')Verify before relying
- Whether spec caching behavior and cache invalidation strategy are suitable for production use cases with frequently-updated service definitions.
- Performance characteristics when working with large numbers of Tapis service endpoints or complex nested API calls.
Package facts
| License | BSD-4-Clause permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 14 packagescertifisixpython_dateutilsetuptoolsurllib3PyJWTopenapi_coreopenapi_spec_validatorrequestsatomicwritescryptographyjsonschemapyyamlcloudpickle |
| Maintenance | Actively maintained 254 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 83,592 / month, #14,064 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: Other/Proprietary LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: tapipy-25.4.0-py3-none-any.whl
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