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Datasette.io Alternatives
Similar projects and alternatives to datasette.io
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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TiddlyWiki
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Alpine.js
A rugged, minimal framework for composing JavaScript behavior in your markup.
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openapi-generator
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
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headlessui
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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autojump
A cd command that learns - easily navigate directories from the command line
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Sapper
Discontinued The next small thing in web development, powered by Svelte
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Bedrock
Rock solid distributed database specializing in active/active automatic failover and WAN replication (by Expensify)
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org-roam-server
A Web Application to Visualize the Org-Roam Database
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gomodest
A complex SAAS starter kit using Go, the html/template package, and sprinkles of javascript.
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makesite
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SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better datasette.io alternative or higher similarity.
datasette.io reviews and mentions
Posts with mentions or reviews of datasette.io.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-27.
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Architecture Notes: Datasette
Opened an issue exploring alternatives here: https://github.com/simonw/datasette.io/issues/109
I decided to just drop "any size" but keep "any shape".
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Schema on write is better to live by
I've come around to almost the opposite approach.
I pull all of the data I can get my hands on (from Twitter, GitHub, Swarm, Apple Health, Pocket, Apple Photos and more) into SQLite database tables that match the schema of the system that they are imported from.
For my own personal Dogsheep (https://simonwillison.net/2020/Nov/14/personal-data-warehous...) that's 119 tables right now.
Then I use SQL queries against those tables to extract and combine data in ways that are useful to me.
If the schema of the systems I am importing from changes, I can update my queries to compensate for the change.
This protects me from having to solve for a standard schema up front - I take whatever those systems give me. But it lets me combine and search across all of the data from disparate systems essentially at runtime.
I even have a search engine for this, which is populated by SQL queries against the different source tables. You can see an example of how that works at https://github.com/simonw/datasette.io/blob/main/templates/d... - which powers the search interface at https://datasette.io/-/beta
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Using sqlite3 as a notekeeping document graph
I've been exploring this technique more over the past year and I really like it - https://datasette.io (code at https://github.com/simonw/datasette.io ) is a more recent and much more complicated example.
Extracting links from markdown and using them to populate some additional columns or tables at build time would be pretty straight forward.
- Ask HN: What novel tools are you using to write web sites/apps?
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What's New in SQLite 3.35
I run SQLite in serverless environments (Cloud Run, Vercel, Heroku) for dozens of projects... but the trick is that they all treat the database as a read-only asset.
If I want to deploy updated data, I build a brand new image and deploy the application bundled with the data. I tend to run the deploys for these (including the database build) in GitHub Actions workflows.
This works really well, but only for applications that don't need to apply constant updates more than a few times an hour! If you have a constant stream of updates I still think you're better off using a hosted database like Heroku PostgreSQL or Google Cloud SQL.
One example of a site I deploy like that is https://datasette.io/ - it's built and deployed by this GitHub Actions workflow here: https://github.com/simonw/datasette.io/blob/main/.github/wor...
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A note from our sponsor - SaaSHub
www.saashub.com | 17 Apr 2024
Stats
Basic datasette.io repo stats
6
81
8.2
about 1 month ago
The primary programming language of datasette.io is HTML.
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