sqlitefs VS stream-read-ods

Compare sqlitefs vs stream-read-ods and see what are their differences.

stream-read-ods

Python function to extract data from an ODS spreadsheet on the fly - without having to store the entire file in memory or disk (by uktrade)
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sqlitefs stream-read-ods
4 2
46 1
- -
10.0 4.4
over 1 year ago 9 months ago
Rust Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

sqlitefs

Posts with mentions or reviews of sqlitefs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-18.

stream-read-ods

Posts with mentions or reviews of stream-read-ods. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-18.

What are some alternatives?

When comparing sqlitefs and stream-read-ods you can also consider the following projects:

libsqlfs - a library that implements a POSIX style filesystem on top of an SQLite database

sqlitefs - sqlite as a filesystem for golang apps

sqlite-gui - Lightweight SQLite editor for Windows

stream-sqlite - Python function to extract rows from a SQLite file while iterating over its bytes

comdb2 - Bloomberg's distributed RDBMS

wuffs - Wrangling Untrusted File Formats Safely

nnn - n³ The unorthodox terminal file manager

sqljs - Experiments with sqlite databases in javascript

bat - A cat(1) clone with wings.

stream-write-ods - Python function to construct an ODS spreadsheet on the fly - without having to store the entire file in memory or disk

absurd-sql - sqlite3 in ur indexeddb (hopefully a better backend soon)