bazelisk

A user-friendly launcher for Bazel.

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4Distinct people

4Mentions

0Explicit recommenders

2.7KGitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

A user-friendly launcher for Bazel.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 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 year4 dated mentions

Observed mentions: 2019-10-18 03:52:58 UTC to 2022-09-13 21:10:30 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	Comments
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	2	2
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	0	0
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	0	0
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	2	2

What Hacker News says

4 sources

jvolkman·Sep 13, 2022

> The parenthesized comment is funnier to me because I had to download a specific bazel version to build. If you use bazelisk to provide your `bazel` command, it'll download the appropriate Bazel version for the repo you're trying to build. https://github.com/bazelbuild/bazelisk

In When to use Bazel?

lima·Mar 28, 2022

Bazel's single-binary distribution brings its own JVM, it has less dependencies than gn. Most people use Bazelisk: https://github.com/bazelbuild/bazelisk

In Fuchsia Workstation

philwo·Oct 18, 2019

> Every time I build tensorflow I have to build bazel first, or get the bazel version for the tf version. This is fixed now: https://github.com/tensorflow/tensorflow/commit/991aec351b57... If you use Bazelisk (https://github.com/bazelbuild/bazelisk), you'll automatically get the matching Bazel version for TensorFlow in the future (and all other projects that have adopted the .bazelversion file).

In Bazel 1.0

m0zg·Oct 18, 2019

You don't need to install Java. It's bundled. In fact I'd recommend that you don't even install Bazel itself. Instead, install this: https://github.com/bazelbuild/bazelisk. This will install either the latest Bazel for you automatically, or you can pin a version of Bazel you want in each repository, to limit and control build system churn.

In Bazel 1.0