ojg
datasette
ojg | datasette | |
---|---|---|
17 | 187 | |
796 | 8,955 | |
- | - | |
7.0 | 9.3 | |
9 days ago | 7 days ago | |
Go | Python | |
MIT License | Apache License 2.0 |
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.
ojg
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Interactive Examples for Learning Jq
I found Jq to be difficult to use which is why Oj, https://github.com/ohler55/ojg is based on JSONPath. There still are a lot of options but it only takes a couple of help screens to figure out what the options are.
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Building a high performance JSON parser
You might want to take a look at https://github.com/ohler55/ojg. It takes a different approach with a single pass parser. There are some performance benchmarks included on the README.md landing page.
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A Journey building a fast JSON parser and full JSONPath
I like the "Simple Encoding Notation" (SEN) of the underlying library: https://github.com/ohler55/ojg/blob/develop/sen.md
- Oj Is on Tap
- SEN: Simple Encoding Notation
- The fastest tool for querying large JSON files is written in Python (benchmark)
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FX: An interactive alternative to jq to process JSON
Another alternative is the oj app (ojg/cmd/oj) which is part of https://github.com/ohler55/ojg. It relies on JSONPath for extraction and manipulation of JSON.
- Go 1.17 Release Notes
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OjG now has a tokenizer that is almost 10 times faster than json.Decode
I promise to add more examples but in the mean time there are the test files. The one for Unmarshal is https://github.com/ohler55/ojg/blob/develop/oj/unmashall_test.go
- The Pretty JSON Revolution
datasette
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Ask HN: High quality Python scripts or small libraries to learn from
Simon Willison's github would be a great place to get started imo -
https://github.com/simonw/datasette
- Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
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Little Data: How do we query personal data? (2013)
I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/
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LaTeX and Neovim for technical note-taking
I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:
1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.
2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.
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Daily Price Tracking for Trader Joes
Were you aware of, or tempted by https://datasette.io/ for creating your solution?
- SQLite-Web: Web-based SQLite database browser written in Python
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Ask HN: What two software products should have a kid?
Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.
I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.
Not too literally, but more on the conceptual level - my level of programming is low.
E.g. Just some....
- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]
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Ask HN: Looking for a project to volunteer on? (February 2024)
You might like the Datasette project: https://datasette.io/
I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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What We Watched: A Netflix Engagement Report – About Netflix
> uploads of boring raw excel data and receive a nice UI
https://datasette.io/
What are some alternatives?
jsonparser - One of the fastest alternative JSON parser for Go that does not require schema
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
jsonic - All you need with JSON
duckdb - DuckDB is an in-process SQL OLAP Database Management System
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
sql.js-httpvfs - Hosting read-only SQLite databases on static file hosters like Github Pages
ask - A Go package that provides a simple way of accessing nested properties in maps and slices.
litestream - Streaming replication for SQLite.
jettison - Highly configurable, fast JSON encoder for Go
Sequel-Ace - MySQL/MariaDB database management for macOS
json2go - Create go type representation from json
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.