stream-read-ods VS sqlitefs

Compare stream-read-ods vs sqlitefs 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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stream-read-ods sqlitefs
2 4
1 46
- -
4.4 10.0
9 months ago over 1 year ago
Python Rust
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.

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.

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.

What are some alternatives?

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

sqlitefs - sqlite as a filesystem for golang apps

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

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

sqlite-gui - Lightweight SQLite editor for Windows

wuffs - Wrangling Untrusted File Formats Safely

comdb2 - Bloomberg's distributed RDBMS

sqljs - Experiments with sqlite databases in javascript

nnn - n³ The unorthodox terminal file manager

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

bat - A cat(1) clone with wings.

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