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pramsey
pgsql-http
C2018–2025
pramsey / pgsql-http

pgsql-http

HTTP client for PostgreSQL, retrieve a web page from inside the database.

11Distinct people
11Mentions
0Explicit recommenders
1.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

HTTP client for PostgreSQL, retrieve a web page from inside the database.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year11 dated mentions

Observed mentions: 2018-05-02 15:55:43 UTC to 2025-07-30 08:01:06 UTC.

01232018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC321
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC211

What Hacker News says

11 sources
The OP didn't write about a UI and we don't know what their needs are, so for all we know they're writing a Python-based back-end API in REST or GraphQL which is being consumed by a mobile UI or a SPA UI in React or Vue.js or whatever, such that that back-end API doesn't have to provide a UI. If the existing Python back-end doesn't provide a UI then any proposed substitute--including one in SQL--shouldn't have to provide a UI either, just an API. In that case, there are some ready-made solutions already available: - PostgREST (https://postgrest.org/): REST API for PostgreSQL - PostGraphile (https://www.graphile.org/) GraphQL API for PostgreSQL - pg_graphql (https://github.com/supabase/pg_graphql) GraphQL API for PostgreSQL - Hasura (https://hasura.io/) GraphQL API for various databases If you want to blend data from a web API and you're
Read the rest
content with GraphQL, for some use-cases (not all, but some), there are options: - Apollo Federation (https://www.apollographql.com/apollo-federation/) - GraphQL Mesh (https://the-guild.dev/graphql/mesh) - Hasura Remote Schema (https://hasura.io/blog/tagged/remote-schemas/) If you want more control over the web API and you were going to fetch the data within your Python back-end and process it there, for some use-cases (not all, but some), there are options: - pg_http (https://github.com/pramsey/pgsql-http) Life is about trade-offs. Doing the work in SQL is not without its drawbacks, but it's also not without its benefits, and that's true for doing the work in a general-purpose language as well. Whatever the drawbacks of doing it in SQL, one of the benefits has got to be eliminating the impedance mismatch (for people who regard that mismatch as a problem, and the OP seems to be one such person). What I claim is that doing the work directly in the database shouldn't be ruled out in general (the specifics of a given use-case may rule it out in particular) any more than the other common patterns (API hand-written in Python, for instance) shouldn't be ruled out in general.
In Sketch of a Post-ORM

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