All data files are stored inside the ./pool/
dir by default.
A huge JSON with basic metadata for all packages on npm. It is an array of entries, the JSON is formatted to be one entry per line.
Includes package name, basic user info, latest
version number, npm version used to publish it, and a link to the latest
version archive.
Example entry:
{"id":"gzemnid-0.0.1","name":"gzemnid","version":"0.0.1","url":"https://github.com/ChALkeR/Gzemnid/issues","user":{"name":"chalker","email":"chalkerx@gmail.com"},"npm":"3.9.2","node":"6.2.0","tar":"http://registry.npmjs.org/gzemnid/-/gzemnid-0.0.1.tgz"},
Typical size — under 100 MiB, typical build time — 1-5 minutes, depending on the download speed. It requires downloading about 500 MiB (not stored) in order to build this file.
Created via gzemnid fetch
.
This file is required by most of the other commands, so updating any data should begin with re-downloading this file.
Contains downloads/month stats for all packages. It is an object from package name to downloads count, the JSON is formatted to be one entry per line.
Example entry:
"bluebird": 9739667,
Typical size — under 10 MiB.
Created via gzemnid stats
.
Requires: byField.info.json
(created automatically if not present).
Contains files named ${package_name}-${package_version}.json
with more detailed package info obtained from the registry, including dependencies for each published version of the package.
One file per ${package_name}
is stored, only for the latest
version. The JSON files are not formatted.
Example content: see https://registry.npmjs.org/qmlweb.
Notice: these files are updated only on latest
version releases, so they might become stale when it comes to beta releases.
Typical size is about 4 GiB, typical bootstrap time is quite long (could even take a day or two), but further updates are quite fast.
Created via gzemnid meta
.
Requires: byField.info.json
(created automatically if not present).
Contains latest
versions of all packages, one file per package.
Files are named ${package_name}-${package_version}.tgz
.
Typical size is currently 95 GiB (and growing), typical bootstrap time depends on your internet connection, further updates are quite fast.
Created via gzemnid packages
.
Requires: byField.info.json
(created automatically if not present).
The main script is invoked as gzemnid command [subcommand]
(or ./gzemnid.js command [subcommand]
),
where [subcommand]
is optional.
Here is the list of the current commands:
gzemnid fetch
— buildsbyField.info.json
.gzemnid stats
— runs subcommandrebuild
.gzemnid stats rebuild
— rebuildsstats.json
, downloading stats for all packages present inbyField.info.json
.gzemnid stats update
— updatesstats.json
for only newly added packages, keeping the numbers for already present packages.
gzemnid meta
— buildsmeta/
directory, downloading meta info for all packages present inbyField.info.json
. Outdated files that were present in themeta/
directory are moved tometa.old/
.gzemnid depsdb
— runs subcommandsplain
,resolved
,nested
,gzemnid depsdb plain
—gzemnid depsdb resolved
—gzemnid depsdb nested
—gzemnid depsdb stats
—
gzemnid packages
— buildscurrent/
directory, downloadinglatest
versions for all packages present inbyField.info.json
. Outdated files that were present in thecurrent/
directory are moved tooutdated/
.gzemnid extract
— runs subcommandspartials
,totals
,gzemnid extract partials
—gzemnid extract totals
—
gzemnid code search {regex}
— performs a code search over a specified regular expression using the pre-built dataset.gzemnid ast execute {file.js}
— performs an AST search using the pre-built dataset. Example script — inexamples/ast_status.js
, execute withgzemnid ast execute ./examples/ast_status.js
,gzemnid server
— starts the web server providing the search API endpoints.
TODO: document server.
Started via gzemnid server
.
Note: think twice before relying on the data obtained from Gzemnid or using it to decide on something.
Code search has both false negatives and false positives — some files are ignored, some files are unused, and some lines could be in a middle of a comment block. Also, your regexps are never ideal.
AST tree also ignores a list of excluded files and directories and minified code and includes unused code and files if those are present in the package for some reason.
Downloads/month are not equal to popularity, and you can't see which version is being used.
Code and AST search, among other things, takes only latest
released package versions into an account. That could be significantly different from master
, beta branches, also older versions could be much more popular that latest
.
All datasets get out of date the moment you build them.
Scoped packages are ignored completely.
Gzemnid deceives you, keep that in mind. But it's still better than nothing.