IDSIA

sacred

Python2016–2020

IDSIA / sacred

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

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13Distinct people

13Mentions

1Explicit recommenders

4.4KGitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

I love that the tooling for ML experimentation is becoming more mature. Keeping track of hyperparameters, training/validation/test experiment test set manifests, code state,…

kradroy used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

mlflow/mlflow · linked in 2 of the same discussions
polyaxon/polyaxon · linked in 2 of the same discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year13 dated mentions

Observed mentions: 2016-04-29 21:49:25 UTC to 2020-11-23 11:23:43 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
2016	2016-01-01 00:00:00 UTC	2017-01-01 00:00:00 UTC	2	0	2
2017	2017-01-01 00:00:00 UTC	2018-01-01 00:00:00 UTC	2	1	1
2018	2018-01-01 00:00:00 UTC	2019-01-01 00:00:00 UTC	4	0	4
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	3	1	2
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	2	1	1

What Hacker News says

4 sources

hcrisp·Jun 5, 2018

Sacred (https://github.com/IDSIA/sacred) FGLab (https://kaixhin.github.io/FGLab/) Metricmachine (https://github.com/danielwaterworth/metricmachine) Non-open source: Neptune (http://neptune.ml) Aetros (https://aetros.com/trainer)

In MLflow: An Open Source Machine Learning Platform

softawre·Apr 5, 2018

Did you forget to suggest the project? Is it "sacred"? https://github.com/IDSIA/sacred

In CometML wants to do for machine learning what GitHub did for code

sbraden·Apr 5, 2018

Since a few people commented on the cost of using CometML (or its competitors), I wanted to suggest an open source project (that's been around for a while) I found helpful for organizing ML experiments and tracking. It has two different frontends to choose from (I like SacredBoard). If you like open source this might be the ML experiment tracker for you! edit (forgot the link): https://github.com/IDSIA/sacred

In CometML wants to do for machine learning what GitHub did for code

fnl·Jan 27, 2018

Given the number of tools around, and as this book promotes Drake, has anyone got "comparative experience" with some of the following tools: Cookiecutter: https://drivendata.github.io/cookiecutter-data-science DataVersionControl: https://dataversioncontrol.com/ Drake: https://github.com/Factual/drake Luigi: https://github.com/spotify/luigi Pachyderm: http://www.pachyderm.io/ Sacred: https://github.com/IDSIA/sacred They all focus in slightly different ways on the issue of managing data science/machine learning workflows, so I wonder if someone has a clear preference for one of those over any another. EDIT: added Luigi

In Data Science at the Command Line