blaze
dasel
blaze | dasel | |
---|---|---|
8 | 44 | |
902 | 4,889 | |
5.4% | - | |
9.3 | 8.1 | |
2 days ago | 5 days ago | |
Rust | Go | |
Apache License 2.0 | MIT License |
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.
blaze
- Blaze: Fast query execution engine for Apache Spark
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🐼 Pandas 2.0 Up To 32x Faster
There is a project called blaze that aims to convert Spark plans into datafusion plans to run it more efficiently.
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Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
Datafusion out performs spark by a large margin. It is on par with photon, see benchmark at https://github.com/blaze-init/blaze.
- Anouncing Blaze: A Rustified OpenCL Experience
- Blaze: A Rust-based vectorized accelerator to speed up your Spark jobs with less resources
- Blaze: A Rust-based vectorized accelerator to speed up your Spark jobs
- Blaze: a Rust-based vectorized accelerator to speed up your Spark jobs with fewer resources.
dasel
- jq 1.7 Released
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Dasel - jq for yaml json and toml
wget https://github.com/TomWright/dasel/releases/download/v2.1.2/dasel_linux_amd64 install -o root -g root -m 0755 dasel_linux_amd64 /usr/bin/dasel
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Why a world needs an UNIX-style image collection manager?
https://github.com/TomWright/dasel handles JSON, TOML, YAML, XML and CSV
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Tool to interact with CSV
dasel - Comparable to jq / yq, but supports JSON, YAML, TOML, XML and CSV with zero runtime dependencies.
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Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
Another tool in this space is Dasel[1], which can handle querying/modifying JSON, YAML, TOML, XML and CSV files.
[1] https://github.com/TomWright/dasel
- Jc – JSONifies the output of many CLI tools
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What are your coolest tools for one-liners ?
There also is dasel which combine jq, yq as well handling TOML, XML and CSV
- Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
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What is the coolest Go open source projects you have seen?
dasel # most common human readable configs(json, yaml, xml...)
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How to grep a specific field from curl output
I have recently switched to Dasel (https://github.com/TomWright/dasel ) due to its ability to work not only with JSON but also with other formats.
What are some alternatives?
incubator-gluten - Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
kubectl-jq - Kubectl plugin that works like "kubectl get" but runs everything through a JQ program you provide
lnav - Log file navigator
Go Metrics - Go port of Coda Hale's Metrics library
xsv - A fast CSV command line toolkit written in Rust.
jq - Command-line JSON processor