franchise
datastation
franchise | datastation | |
---|---|---|
2 | 25 | |
3,988 | 2,854 | |
0.0% | 0.1% | |
0.0 | 0.0 | |
over 1 year ago | 6 months ago | |
JavaScript | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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.
franchise
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What is the best web-based PostgreSQL for Workshop
Would https://franchise.cloud be any use?
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Show HN: DataStation – App to easily query, script, and visualize data
I love the idea of a data notebook. Have you seen Franchise? It's a lovely design for something similar, though its implementation (which stopped in 2019) didn't go beyond querying and visualization, rather than manipulation. But the stying and component design are lovely, and it may be possible to pull that from their code. https://github.com/HVF/franchise
datastation
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Code coverage for Go integration tests
There was a technique that existed already where you could use `go test -cover` and the `-o` flag to produce a binary from `go test` rather than actually running tests. So you could build a binary that had coverage enabled. Then when you ran
Here's an example: https://github.com/multiprocessio/datastation/blob/main/runn....
I can't remember where I found this technique but it's been around for a while.
This new option is the same thing but a way to `go build` with `-cover` instead of `go test -cover -o $out`? Do I have that right?
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Engineers using dbt with VS Code - how are you previewing your results in lieu of the functionality provided by dbt cloud?
If my employer doesn't consider paying for dbt cloud, I will use u/eatonphil 's datastation, run the queries on a dev database then put them in dbt.
- Show HN: DataStation – App to easily query, script, and visualize data
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Windmill.dev
I build a somewhat similar app, DataStation [0], that is in JavaScript and Go. It supports scripting in Python, Julia, R, JavaScript, Ruby, etc.
The server version of it exists and I run it myself but that process is not documented yet. (Most people use it as a desktop app today.)
[0] https://github.com/multiprocessio/datastation
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Datasette Lite: a server-side Python web application running in a browser
My biggest issue with Pyodide is the long wait times. I haven't figured out a way around a ~5 second load time where the entire UI hangs every single time you load the page.
My app (similar to Simon's, a lite mode of a data IDE): https://app.datastation.multiprocess.io.
My code: https://github.com/multiprocessio/datastation/blob/main/shar....
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Lies we tell ourselves to keep using Golang
I use Go heavily cross-platform developing DataStation [0] and dsq [1]. I am not an expert. And I don't have proof for it but on some rudimentary benchmarks the Linux-specific file idioms in the Go standard library definitely don't seem to translate well to even macOS let alone Windows. For example some good streaming techniques for reading large files on Linux that work really well there seemed to be pretty bad on macOS.
I think Amos has presented more proof than I can on the topic of just how Linux-influenced Go is. And I think it is fine for the majority of Go users because the majority users of Go are building server apps or Linux CLIs.
Amos has spent some time building cross-platform desktop systems with Go for itch.io and I think I'm seeing some of the same things they are in that scenario.
I think this is a reasonable article. If Amos gets flame-y at any point I think it's worth ignoring because there does seem to be something up with Go in cross-platform applications.
I like Go a lot and for most things I'd keep using it still. Just sharing some observations.
[0] https://github.com/multiprocessio/datastation
[1] https://github.com/multiprocessio/dsq
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Feeling overwhelmed when trying to contribute to opensource projects
I keep a page of good first projects for two big projects I work on. The only expectation is that you know Go. I've had a couple of people who've never contributed to OSS come in and get some meaningful features merged.
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Ask HN: Who wants to collaborate? (April 2022)
I've got some good first projects if you're interested in OSS data tools and have some Go experience.
Check out: https://github.com/multiprocessio/datastation/blob/main/GOOD...
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Open source Go projects to contribute (beginners)
Some example projects: DataStation (desktop GUI for querying every kind of database, scripting and graphing the results) and dsq (a CLI companion for running SQL queries on many kinds of files), and go-json (a library for fast JSON encoding of arrays of large objects).
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Ask HN: Anyone making a living building desktop applications?
I'm building a desktop-first (SaaS-eventual) data IDE for developers [0]. Making a living? Not yet.
It being desktop-first makes it as easy to try out in a corporate environment as Sublime. The data never leaves your machine. Desktop-first is a big deal in devtools for this reason.
[0] https://github.com/multiprocessio/datastation
What are some alternatives?
mlcraft - Synmetrix – open source semantic layer / Boost your LLM precision
homebrew-emacs-plus - Emacs Plus formulae for the Homebrew package manager
infosys222 - INFOSYS 222 Database Systems
gecko-dev - Read-only Git mirror of the Mercurial gecko repositories at https://hg.mozilla.org. How to contribute: https://firefox-source-docs.mozilla.org/contributing/contribution_quickref.html
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
vscode-jupyter - VS Code Jupyter extension
datastation-documentation - Source code for the DataStation documentation site
golang-samples - Sample apps and code written for Google Cloud in the Go programming language.
Sequelize - Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
datasette - An open source multi-tool for exploring and publishing data
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
oursh - Your comrade through the perilous world of UNIX.