codesearch
hound
codesearch | hound | |
---|---|---|
10 | 10 | |
3,422 | 5,573 | |
- | 0.6% | |
0.0 | 4.9 | |
almost 2 years ago | 5 months ago | |
Go | JavaScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
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.
codesearch
- Regular Expression Matching with a Trigram Index
- How Google Code Search Worked
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Ask HN: How do you search large code-base before adding a feature or fixing bug?
Whenever I work on huge codebase (think 1M+), I always reach for Russ Cox's codesearch https://github.com/google/codesearch. It requires indexing the codebase first, which takes 15 minutes or so, but after that searches are instant.
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Improving GitHub Code Search
There is some older version that's open source, I haven't tried it and I don't know how much of today's code search is based on it.
https://github.com/google/codesearch
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Facebook open sources Glean, its scalable code search and query engine
There's https://github.com/google/codesearch
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Is there a reliable way to force google to include a search term as plain text on the result or is there a decent search platform with that feature?
If you want to find exact pieces of syntax then you should use a code search engine like GitHub's, Sourcegraph, or Google's codesearch. On the flip side, these won't be as good as Google for finding general ideas because they're focused more toward the precision of answers rather than giving you things that are related.
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Postgres regex search over 10,000 GitHub repositories (using only a Macbook)
Check https://github.com/google/codesearch or https://swtch.com/~rsc/regexp/regexp4.html, this is actually possible.
hound
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Code Search at Google: The Story of Han-Wen and Zoekt
The same algorithm is also used in Hound (https://github.com/hound-search/hound) though I have to say the best implementation of code search by far that I've seen is https://grep.app
You really should check it out if you haven't already. It's incredibly useful; I used it all the time. Not open source though.
- Hound: Fast code searching made easy
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Sourcegraph is no longer Open Source
There is also Hound [8].
[8]: https://github.com/hound-search/hound
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DockerHub replacement stratagy and options
Agreed, I already have Hound setup to search across all the different repos I pull from (bitbucket, gh, gitlab, gitea etc) but now I need to find a docker equivalent.
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Gitlab to lay off 7% of staff
i know you're looking for first-party tools that is part of the whole package, but hound does this fantastically and is extremely easy to setup, and is ridiculously fast.
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Ask HN: How do you search large code-base before adding a feature or fixing bug?
Especially if this is long term, this is a great tool:
https://github.com/hound-search/hound#hound
It would be great if someone integrated this with tree-sitter plus something to make the search semantics a bit smarter about usages of X:
https://www.etsy.com/codeascraft/announcing-hound-a-lightnin...
Screenshots:
https://jaxenter.com/hound-go-react-code-search-engine-15008...
Another trick I use for Java: javap all the Enums out of the compiled artifacts; these indicate weird things like "modes" that you can use to start asking questions relevant to the domain. Like "why are there four ways to reprice an invoice" or finding the "types" of fees or w/e in a billing system. (assuming enum classes are used)
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Parcel CSS: A new CSS parser, compiler, and minifier
Nice too that it's a compiled language, so you get the end tool in a nice static binary. As a non-Node dev, I hate the experience of hacking on some project and having to install a giant pool of NPM stuff just run some minifier or linter. Hound is an example of this— the guts of the project are golang, but it has a frontend that uses webpack, jest, etc: https://github.com/hound-search/hound
Which is fine, I guess; definitely use the right tool for the job. And maybe Node developers hate finding my Python projects and needing to set up a virtualenv to run them in. But all the same, I approve a direction where more of this kind of tooling is available without a build-time Node dependency.
- Grep.app: search across a half million Git repos
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Ask HN: What are you using to introspect your code base
[2] https://about.sourcegraph.com/
[3] https://oracle.github.io/opengrok/
[4] https://github.com/hound-search/hound
What are some alternatives?
zoekt - Fast trigram based code search
opengrok - OpenGrok is a fast and usable source code search and cross reference engine, written in Java
Glean - System for collecting, deriving and working with facts about source code.
Gitlab CI - GitLab CE Mirror | Please open new issues in our issue tracker on GitLab.com
mozsearch - Mozilla code search website. (Please file bugs in bugzilla at https://mzl.la/2YtXmoN)
septum - Context-based code search tool
dropcss - An exceptionally fast, thorough and tiny unused-CSS cleaner
postgres-operator - Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
rust-cssparser - Rust implementation of CSS Syntax Level 3
QuestDB - An open source time-series database for fast ingest and SQL queries
the_silver_searcher - A code-searching tool similar to ack, but faster.