YUyuashizuki·Dec 10, 2014Submission
2 points · Open discussionadewes
blitzdb
Python2014–2018
adewes / blitzdb
blitzdb
Blitz is a document-oriented database for Python that is backend-agnostic. It comes with a flat-file database for JSON documents and provides MongoDB-like querying capabilities.
3Distinct people
10Mentions
0Explicit recommenders
334GitHub stars
What to know before exploring
What it is
Blitz is a document-oriented database for Python that is backend-agnostic. It comes with a flat-file database for JSON documents and provides MongoDB-like querying capabilities.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 7:02:26 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 year10 dated mentions
Observed mentions: 2014-04-05 18:08:26 UTC to 2018-11-20 14:03:04 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
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2014 | 2014-01-01 00:00:00 UTC | 2015-01-01 00:00:00 UTC | 4 | 1 | 3 |
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 3 | 0 | 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 | 1 | 0 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
4 sourcesIf you're looking for something similar for Python, check out BlitzDB:
https://github.com/adewes/blitzdb
It's a serverless, flat-file, document-oriented database which supports indexing and transactions and comes with a built-in ORM layer and a rich query language modeled after MongoDB.
In LowDB – A flat JSON file databaseI'm working on a document-oriented database engine written purely in Python: BlitzDB!
https://github.com/adewes/blitzdb
My motivation was that I needed (wanted?) a pure-Python document database that does not have any dependencies (like pymongo) and provides querying capabilities similar to MongoDB.
Currently, Blitz is under active development and comes with a file-based backend as well as a MongoDB backend.
Contributions to the codebase and feedback are highly welcome :)
The issue tracker contains various suggestions for contributions, with various difficulty levels:
https://github.com/adewes/blitzdb/issues
In Ask HN: What projects are you working on?Putting side effects in the __init__ code seems to become quite fashionable these days but is a pretty bad idea since it removes the possibility to "just" import the functionality defined by the module without performing any initialization. Personally, I always try to avoid having a system that relies on some global configuration (like e.g. Django, Matplotlib or Flask do). In matplotlib for example this causes a lot of problems, since importing the pylab module will automatically (among other things) load and initialize a backend, which is then set in stone for the rest of the session.
IMHO, the way to go here instead is dependency injection:
Inject the configuration into the module through a function or class method (e.g. Flask.initialize({config state}). Wrapping all module functionality that depends on configuration in a class is a goo
Read the rest
d idea here since it allows you to use multiple configurations in parallel and makes your code more modular.
As an example, in BlitzDB (a document-oriented database for Python, https://github.com/adewes/blitzdb) there is no global configuration at all, so you can initialize and use multiple backends in parallel as you please without worrying about side effects. SQLAlchemy does it in a similar way btw.