Package Health Score

72 / 100

security
Security review needed
popularity
Recognized
maintenance
Healthy
community
Sustainable

Popularity

Recognized

GitHub Stars: 1.57K
Forks: 599
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tabpy, we found that it has been starred 1,567 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 6, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
3
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 19
Open PR: 3
Last Release: 2 days ago
Last Commit: 8 days ago

Further analysis of the maintenance status of tabpy based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that tabpy demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 40
Funding: No

With more than 10 contributors for the tabpy repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like tabpy is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7

Age: 5 years
Latest Release: 2 days ago
Dependencies: N/A
Versions: 20
Maintainers: 1
Wheels: No

Not sure how to use tabpy?

To help you get started, we've collected the most common ways that tabpy is being used within popular public projects.

tableau / TabPy / tests / unit / tools_tests / test_client.py View on Github

def test_init(self):
        client = Client("http://example.com:9004")

        self.assertEqual(client._endpoint, "http://example.com:9004")

        client = Client("http://example.com/", 10.0)

        self.assertEqual(client._endpoint, "http://example.com/")

        client = Client(endpoint="https://example.com/", query_timeout=-10.0)

        self.assertEqual(client._endpoint, "https://example.com/")
        self.assertEqual(client.query_timeout, 0.0)

        # valid name tests
        with self.assertRaises(ValueError):
            Client("")
        with self.assertRaises(TypeError):
            Client(1.0)
        with self.assertRaises(ValueError):
            Client("*#")
        with self.assertRaises(TypeError):
            Client()
        with self.assertRaises(ValueError):
            Client("http:/www.example.com/")
        with self.assertRaises(ValueError):

View more ways to use tabpy

TabPy (the Tableau Python Server) is an external service implementation which expands Tableau's capabilities by allowing users to execute Python scripts and saved functions via Tableau's table calculations.

Changelog

v2.12.0

Improvements

Add support for public deployed functions that will be visible to users in Tableau when using the Custom Functions Explorer
Add functionality to allow users to update existing deployed functions without needing to redeploy the function itself

v2.11.0

Improvements

Add support for Python 3.10, 3.11, and 3.12. End support Python for 3.7 and 3.8.

v2.10.0

Improvements

Add TabPy parameter (TABPY_MINIMUM_TLS_VERSION) to specify the minimum TLS version that the server will accept for secure connections. Default is set to TLSv1_2.

v2.9.0

Improvements

Require confirmation to continue when starting TabPy without authentication, with a warning that this is an insecure state and not recommended.

v2.8.0

Improvements

Returns 413 error code when request payload exceeds TABPY_MAX_REQUEST_SIZE_MB config setting.

v2.7.0

Improvements

Adds support for data streaming in Arrow columnar format via Apache Arrow Flight.

v2.6.0

Improvements

Fixes deprecation of sklearn in favor of current package name scikit-learn

v2.5.1

Improvements

Gzip encoded requests are now supported by default. This can be disabled in the config file.
The INFO method will return the enabled status of features.

v2.5.0

Improvements

A server with Adhoc Disabled Flag on with the wrong credentials will now return wrong credentials error instead of telling the user that Adhoc Scripts are not allowed on this server.
Added documentation for how to run TabPy projects with local changes

Breaking changes

Discontinued support for Python 3.6
Added support for Python 3.9

v2.4.0

Improvements

Add toggle to turn off evaluate API.

Breaking changes

Changing error code to 406 when server not configured for authentication but credentials are provided by client.

v2.3.2

Improvements

Test files added to tar.gz and zip releases.

v2.3.1

Bug fixes

Overriding deployed models.

v2.3.0

Improvements

Fixed scrutinizer test run failure.

v2.2.0

Breaking changes

TabPy fails with 400 when it is not configure for authentication but credentials are provided by client.

Bug fixes

When TabPy is running with no console attached it is not failing with 500 when trying to respond with 401 status.
tabpy.query() failing when auth is configured.

Improvements

Minor code cleanup.

v1.1.0

Improvements

Authorization is now required for the /info API method. This method did not check authentication previously. This change is backwards compatible with Tableau clients.
Improved config parsing flexibility. Previously the TABPY_EVALUATE_TIMEOUT setting would be set to a default if tabpy couldn't parse the value. Now it will throw an exception at startup.

v1.0.0

Improvements

Minor: feature name changed to analytics extensions.
Startup script files deleted.
Index page updated.

Other

TabPy is now Tableau Supported (used to be Community Supported).

v0.9.0

Improvements

Models deployment doesn't depend on pip._internal anymore.
Package size reduced.

v0.8.13

Improvements

TabPy works with Python 3.8 now.
Documentation updates with referencing Tableau Help pages.
Added Client.remove() method for deleting deployed models.

Bug Fixes

Fixed failing Ctrl+C handler.
Fixed query_timeout bug.
Fixed None in result collection bug.
Fixed script evaluation with missing result/return bug.
Fixed startup failure on Windows for Python 3.8.

v0.8.9

Improvements

Added Ctrl+C handler
Added configurable buffer size for HTTP requests
Added anvoa to supported pre-deployed models in tabpy

v0.8.7

Improvements

Enabled the use of environment variables in the config file.

v0.8.6

Fixes

Fixed file names for package building.
Fixed reading version info for /info call.

v0.8

Improvements

TabPy is pip package now
Models are deployed with updated script

v0.7

Improvements

Added t-test model
Fixed models call with /evaluate for HTTPS
Migrated to Tornado 6
Timeout is configurable with TABPY_EVALUATE_TIMEOUT config file option

v0.6.1

Improvements

Scripts, documentation, and integration tests for models
Small bug fixes
Added request context logging as a feature controlled with TABPY_LOG_DETAILS configuration setting.
Updated documentation for /info method and v1 API.
Added integration tests.

v0.4

Improvements

Added basic access authentication (all methods except /info)
tabpy-tools can deploy models to TabPy with authentication on
Increased unit tests coverage
Travis CI for merge requests: unit tests executed, code style checking

v0.3.2

Breaking changes

Logger configuration now is in TabPy config file.

Improvements

Remove versioneer and just replace it with VERSION file
Require Python 3.6.5
Require jsonschema to be compatible with 2.3.0
Added setup instructions (known issues) for CentOS

v0.3.1

Fixed dependency on tabpy-tools in startup scripts
Fixed Python version dependency in tabpy-server setup script

v0.3

Breaking changes

The config file is now not just Python code but an actual config
Tornado config file has a different setting for CORS
Setup scripts are deleted - setup (if needed) happens with the startup script
tabpy-client is tabpy-tools now

Improvements

Secure connection (HTTPS) is supported with Tableau 2019.2 and newer versions
Documentation is improved with more examples added
Versioning is done with Versioneer and github release tags
Improved logging
Unit tests are passing now
Configurations for Postman and Swagger are available to use those against running TabPy

v0.2

Initial version

FAQs

What is tabpy?

Web server Tableau uses to run Python scripts. Visit Snyk Advisor to see a full health score report for tabpy, including popularity, security, maintenance & community analysis.

Is tabpy popular?

The python package tabpy receives a total of 2,916 weekly downloads. As such, tabpy popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tabpy well maintained?

We found that tabpy demonstrated a healthy version release cadence and project activity. It has a community of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tabpy safe to use?

While scanning the latest version of tabpy, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 7 November-2024, at 18:23 (UTC).

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