Skip to main content

DSP-TOOLS version on PyPI Supported Python versions License Ruff uv mypy

DSP-TOOLS Documentation

Installing dsp-tools

To install the latest version, run:

pip3 install dsp-tools

To update to the latest version run:

pip3 install --upgrade dsp-tools

🚨 If your Python version is older than ours, pip will silently install an outdated version of DSP-TOOLS.
DSP-TOOLS requires one of these Python versions:
The most recent version of DSP-TOOLS is

The dsp-tools package provides you with functionalities in the command line to interact with the DSP-API, both remote and locally. Additionally, it contains the xmllib which helps you construct the XML file required for a mass upload.

Where To Start?

dsp-tools provides you with the following core functionalities.

  • Running a Local Stack: If you want to run your own DSP stack locally, take a look here.
  • Data Modelling: There are several ways to create a data model with dsp-tools
    • Take a look at the technical specification for the JSON file.
    • Or take a look at our tool to convert Excel files into the JSON format.
    • You can create a data model on the DSP-APP. To re-use that data model on another server you can use the CLI command described here.
  • Data for Mass-Upload:
    • If you want to create the XML file required for a mass-upload onto DSP, take a look at the xmllib.
    • You can find an in-depth explanation of our XML file format here. Please note, that we recommend to use the xmllib library to create the file as we will ensure interoperability between the DSP-API requirements and your input.
    • If you want to validate and upload your XML file take a look here. Please note, that only DaSCH employees are permitted to upload data on a production server.

Metadata

Release files for dsp-tools 17.0.0.post25

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dsp-tools 17.0.0.post25
File Size Uploaded Provenance
dsp_tools-17.0.0.post25.tar.gz 278.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for dsp-tools 17.0.0.post25
File Interpreter ABI Platform
dsp_tools-17.0.0.post25-py3-none-any.whl Python 3 none any Details

Total release size: 670.2 kB

Release files / dsp_tools-17.0.0.post25.tar.gz

Download URL dsp_tools-17.0.0.post25.tar.gz
Size 278.3 kB
Tags Source
SHA-256 checksum
How to use checksums
aab797384bbcd80b9fc348e959f3f4ec170132798b8a078f314c283c84cd2ae5
BLAKE2b-256 checksum
How to use checksums
f9f62a3111a2d8a8017c6637acd4d166449192c7133badf1099cfc57f0ec2b82
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.9.5

Release files / dsp_tools-17.0.0.post25-py3-none-any.whl

Download URL dsp_tools-17.0.0.post25-py3-none-any.whl
Size 391.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2b09644a813fffe8cb8d09396106e8a767b7e0056554408112f04bf7f13b9715
BLAKE2b-256 checksum
How to use checksums
72bf0a8cddf6a3ac28666a4cad35fdccf538f985e9ddf89a27800dc722a7245a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.9.5

Security for dsp-tools 17.0.0.post25

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page