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chentsulin
awesome-graphql
Learning & Reference2016–2022
chentsulin / awesome-graphql

awesome-graphql

Awesome list of GraphQL

8Distinct people
8Mentions
0Explicit recommenders
15.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Awesome list of GraphQL

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, 3:56:07 PM 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 year8 dated mentions

Observed mentions: 2016-01-26 01:27:16 UTC to 2022-04-01 18:55:04 UTC.

012342016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 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): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC404
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC312
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
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 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

8 sources
NYTimes/DBSlayer (2007) wraps MySQL in JSON: https://open.nytimes.com/introducing-dbslayer-64d7168a143f ODBC > Bridging configurations: https://en.wikipedia.org/wiki/Open_Database_Connectivity#Bri... awesome-graphql > tools: security: https://github.com/chentsulin/awesome-graphql#tools---securi... ... W3C SOLID > Authorization and Access Control: https://github.com/solid/solid-spec#authorization-and-access... "Hosting SQLite Databases on GitHub Pages" (2021) re: sql.js-httpvfs, DuckDB https://news.ycombinator.com/item?id=28021766 [edit] TIL the MS ODBC 4.0 spec is MIT Licensed, on GitHub , and supports ~challenge/response token auth: "3.2.2 Web-based Authentication Flow with SQLBrowseConnect" https://github.com/microsoft/ODBC-Specification/blob/master/... > Applications that are unable to allow drivers to pop up dialogs can call SQLBr
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owseConnect to connect to the service. > SQLBrowseConnect provides an iterative dialog between the driver and the application where the application passes in an initial input connection string. If the connection string contains sufficient information to connect, the driver responds with SQL_SUCCESS and an output connection string containing the complete set of connection attributes used. > If the initial input connection string does not contain sufficient information to connect to the source, the driver responds with SQL_NEED_DATA and an output connection string specifying informational attributes for the application (such as the authorization url) as well as required attributes to be specified in a subsequent call to SQLBrowseConnect. Attribute names returned by SQLBrowseConnect may include a colon followed by a localized identifier, and the value of the requested attribute is either a single question mark or a comma-separated list of valid values (optionally including localized identifiers) enclosed in curly braces. Optional attributes are returned preceded with an asterix (*). > In a Web-based authentication scenario, if SQLBrowseConnect is called with an input connection string containing an access token that has not expired, along with any other required properties, no additional information should be required. If the access token has expired and the connection string contains a refresh token, the driver attempts to refresh the connection using the supplied refresh token. Also TIL ODBC 4.0 supports: https://github.com/microsoft/ODBC-Specification : > Semi-structured data – Tables whose schema may not be defined or may change on a row-by-row basis > Hierarchical Data – Data with nested structure (structured fields, lists) > Web Authentication model
In Postgres wire compatible SQLite proxy
The GraphQL ecosystem has grown amazingly quickly over the last year. It's definitely not a single-vendor technology at this point. Check out this list of GraphQL libraries, tools, and implementations: https://github.com/chentsulin/awesome-graphql The majority of people who are using GraphQL are using an implementation from someone other than Facebook (on either the client or the server, or in many cases both). (And for what it's worth, I did see a "Why not RDF" slide in one of Lee Byron's decks, and those of us at Meteor who are working on GraphQL are definitely aware of the RDF/SparQL roots. I think what's driving GraphQL's growth is, first, it addresses a very timely problem - fetching all of the data for a screen in a mobile app in a single round trip without coupling your backend to your UI - and second, the focus on tooling and deve
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loper experience which has been a weakness for SparQL.)
In Launch HN: Scaphold.io (YC W17) – GraphQL Backend as a Service
This has very little to do with graphql. The DRF is to get a solid json api up and running quickly. The standard it ships with conforms to the http://jsonapi.org/ spec. Which came mostly from the Rails community and many projects built in different stacks conform to. If you're familiar with Rails it's like https://github.com/rails-api/rails-api which was recently merged into Rails in v5. You could totally add a graphql endpoint to any api `/graphql?[your GQL query here]`. We're currently exploring adding that to our Django/DRF backend with one of these https://github.com/chentsulin/awesome-graphql#lib-py
In Django REST framework 3.4 Released
I can remember when Git began to replace Subversion, but a lot of companies resisted the trend, because Git was so radically different. Subversion was comfortable: everything was centralized, and the revision numbers went up in an orderly fashion: 1, 2, 3, 4, 5, 6... You always knew where you were in history, with Subversion. It was clear that Git was better in some fundamental way, and yet it took effort to understand it, conceptually, at first. I feel like the same thing is happening now with GraphQL versus REST. On some level it seems like GraphQL is altogether better than REST, but we don't see a mad rush to adopt GraphQL, because it represents a big shift in thinking, and those of us who just spent the last 10 years creating RESTful interfaces, we are a bit slow to throw out all of our work and start over with GraphQL. Also, the fron
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tend needs to change as much as the backend, so it requires a full re-write of everything. All the same, a title like "Scale vs. Node.js as a RESTful back end server" does strike me as an anachronism in 2016. Who cares? I doubt I will ever again build a RESTful interface. Rather, on the project I'm working on right now, we are getting rid of the RESTful interface and we are looking at our GraphQL options: https://github.com/chentsulin/awesome-graphql Is Scala or Node.js the best option for building a GraphQL server? That would be an interesting article.
In Scala vs. Node.js as a RESTful back end server (2015)

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