fideslang
fides
| fideslang | fides | |
|---|---|---|
| 2 | 2 | |
| 1 | 328 | |
| - | 0.6% | |
| 7.2 | 9.8 | |
| 14 days ago | 3 days ago | |
| Python | Python | |
| Creative Commons Attribution 4.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fideslang
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What data governance tool are you folks using?
I’ve also been impressed with the approach of Fides, an open source privacy management framework that ties into ci/cd, though I haven’t used it myself yet. The thing about it that stood out was Fideslang, their language and taxonomy for representing data privacy primitives.
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Devtools for Data Privacy — Step 1: Privacy Taxonomy V1.0
NOTE: If you’d like to jump straight to the Github repo or documentation you can get these at:
fides
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What data governance tool are you folks using?
I’ve also been impressed with the approach of Fides, an open source privacy management framework that ties into ci/cd, though I haven’t used it myself yet. The thing about it that stood out was Fideslang, their language and taxonomy for representing data privacy primitives.
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Privacy-as-Code: Preventing Facebook’s $5B violation using Fides Open-Source
Fides is built to solve for problems like this. In its current release, you can already draft a policy in YAML using fideslang and enforce that policy to ensure engineers across a team can’t accidentally or intentionally misuse data in a way that deviates from the promises a business or application makes to its users.
What are some alternatives?
fiftyone - The open-source tool for building high-quality datasets and computer vision models
differential-privacy-library - Diffprivlib: The IBM Differential Privacy Library
dvc - 🦉 ML Experiments and Data Management with Git
datahub - The Metadata Platform for your Data Stack
awesome-machine-unlearning - Awesome Machine Unlearning (A Survey of Machine Unlearning)
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow