textql VS jless

Compare textql vs jless and see what are their differences.

textql

Execute SQL against structured text like CSV or TSV (by dinedal)

jless

jless is a command-line JSON viewer designed for reading, exploring, and searching through JSON data. (by PaulJuliusMartinez)
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textql jless
15 34
9,037 4,544
- -
3.7 5.0
8 months ago 8 days ago
Go 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.

textql

Posts with mentions or reviews of textql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-29.

jless

Posts with mentions or reviews of jless. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-29.

What are some alternatives?

When comparing textql and jless you can also consider the following projects:

q - q - Run SQL directly on delimited files and multi-file sqlite databases

fx - Terminal JSON viewer & processor

go-duckdb - go-duckdb provides a database/sql driver for the DuckDB database engine.

jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]

octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.

jq - Command-line JSON processor

cq - Query CSVs using SQL

jsonpath-rust - Support for json-path in Rust

dsq - Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.

jql - A JSON Query Language CLI tool

brackit - Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.