DIdirtyvagabond·Sep 19, 2013
nice post! i'd like to make a shameless plug for Drake, a 'make for data' workflow tool.
https://github.com/Factual/drake
In Command-line tools for data scienceFactual
drake
Clojure2013–2026
Factual / drake
drake
Data workflow tool, like a "Make for data"
14Distinct people
21Mentions
1Explicit recommenders
1.5KGitHub stars
What to know before exploring
What it is
Data workflow tool, like a "Make for data"
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
Amen right back at ya! (I love the O'Reilly book cover.) I highly recommend people read your blog post. And there's also this classic:…
edw used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.
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Also in these discussions
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This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 11:34:28 AM 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 year21 dated mentions
Observed mentions: 2013-01-24 22:09:56 UTC to 2026-09-09 11:14:41 UTC.
* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2013 | 2013-01-01 00:00:00 UTC | 2014-01-01 00:00:00 UTC | 8 | 0 | 8 |
| 2014 | 2014-01-01 00:00:00 UTC | 2015-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 4 | 1 | 3 |
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
8 sourcesDrip now works with Drake! Yes, it's still less than ideal if you're calling Drake hundreds of times from an automated script which you need to run quickly, but for interactive development, it should work just fine:
https://github.com/Factual/drake/wiki/Faster-startup:-Drake-...
In Introducing Drake, a kind of ‘make for data’The project's README file (https://github.com/Factual/drake - scroll down) contains building and running instructions, as well as how to create a simple script to run Drake which you can put on your PATH.
In Introducing Drake, a kind of ‘make for data’Thank you. Why not? We would love to see it, but we're also not actively using Amazon S3 at the moment. But we would be more than happy to review code contributions.
First of all, you can file a feature request: https://github.com/Factual/drake/issues
Adding a new filesystem to Drake's source is very easy. You just create a filesystem object that implements a bunch of methods for: listing directory, removing file, renaming file and getting file's timestamps, and then put it along with the corresponding prefix in the filesystem map. That's pretty much it. Assuming there's client JAR for Amazon S3, written either in Clojure or in Java, it should be quite simple to do.
Artem.
In Introducing Drake, a kind of ‘make for data’To be honest with you, no, we didn't seriously consider it. Maybe we should have. I do not know if ClojureScript would be able to work with all the dependencies we have (for example, Hadoop client library to talk to HDFS). But it's a good point nevertheless. I'll mention it in https://github.com/Factual/drake/issues/1.
Thanks!
In Introducing Drake, a kind of ‘make for data’Got ya. Please voice your opinion about the priority in which features should be implemented by submitting a feature request at https://github.com/Factual/drake/issues, or +1'ing an existing one.
There are so many potential features to be added to Drake, and a lot of them have already been thought about and spec'ed out, that we need some sort of a way to figure out what to do first.
Of course, if you'd like to actively contribute, we'd be ecstatic.
Artem.
In Introducing Drake, a kind of ‘make for data’This is an awesome idea. Currently Drake only supports timestamped and forced evaluations, but it would be great to have an evaluation abstraction where you could provide your own implementation of whether a target's changed and/or whether a target is to be considered fresher/younger than another target. Timestamped would compare modification times, forced would return true, and it could be extended indefinitely.
If you're serious about it, please submit a feature request (https://github.com/Factual/drake/issues), and describe more specifically what you would like to be able to do in your case.
Thank you for a great thought.
Artem.
In Introducing Drake, a kind of ‘make for data’There is love for R in Drake! As of about an hour ago:
https://github.com/Factual/drake/commit/f63dd2630ca3e5e4a6a6...
In Introducing Drake, a kind of ‘make for data’