Tumult's differential privacy analytics API
Project description
Tumult Analytics
Tumult Analytics is a library that allows users to execute differentially private operations on data without having to worry about the privacy implementation, which is handled automatically by the API. It is built atop the Tumult Core library.
Installation
See the installation instructions in the documentation for information about setting up prerequisites such as Spark.
Once the prerequisites are installed, you can install Tumult Analytics using pip.
pip install tmlt.analytics
Documentation
The full documentation is located at https://docs.tmlt.dev/analytics/latest/.
Support
If you have any questions/concerns, please create an issue or reach out to support@tmlt.io
Contributing
We are not yet accepting external contributions, but please let us know at support@tmlt.io if you are interested in contributing.
See CONTRIBUTING.md for information about installing our development dependencies and running tests.
License
Copyright Tumult Labs 2022
The Tumult Platform source code is licensed under the Apache License, version 2.0 (Apache-2.0). The Tumult Platform documentation is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA-4.0).
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tmlt_analytics-0.5.0.tar.gz.
File metadata
- Download URL: tmlt_analytics-0.5.0.tar.gz
- Upload date:
- Size: 758.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.2 CPython/3.7.15 Linux/5.4.109+
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad80b7c4d3d1ed6b9bcd6d9e61d5538dda0992a1977c1ef8607b6fcd32f64af6
|
|
| MD5 |
c07547e039be64f0b5278faff6b6311c
|
|
| BLAKE2b-256 |
3af5d7cee3a152da1044c1f3836edaa0fae35e6ea9fd3bd7b0925c35f40d40b6
|
File details
Details for the file tmlt_analytics-0.5.0-py3-none-any.whl.
File metadata
- Download URL: tmlt_analytics-0.5.0-py3-none-any.whl
- Upload date:
- Size: 80.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.2 CPython/3.7.15 Linux/5.4.109+
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
036038e4aa4f679c9fcbcad1ca9df3ad43b3da79661e9597baf1b14f1a148d94
|
|
| MD5 |
54ca82035e42556fa5b5db8aa8f00f2d
|
|
| BLAKE2b-256 |
816e8aa89fd13ec1367264ed4a19d48114b0540761c224204cd39a47249def66
|
