BRbryaneno·May 17, 2023Submission
4 points · Open discussionapache
incubator-graphar
Java2023–2023
apache / incubator-graphar
incubator-graphar
An open source, standard data file format for graph data storage and retrieval.
2Distinct people
5Mentions
0Explicit recommenders
384GitHub stars
What to know before exploring
What it is
An open source, standard data file format for graph data storage and retrieval.
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, 12:54:37 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 week5 dated mentions
Observed mentions: 2023-03-06 09:31:09 UTC to 2023-05-17 03:35:48 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 6 | 2023-03-06 00:00:00 UTC | 2023-03-13 00:00:00 UTC | 1 | 1 | 0 |
| Mar 13 | 2023-03-13 00:00:00 UTC | 2023-03-20 00:00:00 UTC | 0 | 0 | 0 |
| Mar 20 | 2023-03-20 00:00:00 UTC | 2023-03-27 00:00:00 UTC | 0 | 0 | 0 |
| Mar 27 | 2023-03-27 00:00:00 UTC | 2023-04-03 00:00:00 UTC | 0 | 0 | 0 |
| Apr 3 | 2023-04-03 00:00:00 UTC | 2023-04-10 00:00:00 UTC | 0 | 0 | 0 |
| Apr 10 | 2023-04-10 00:00:00 UTC | 2023-04-17 00:00:00 UTC | 0 | 0 | 0 |
| Apr 17 | 2023-04-17 00:00:00 UTC | 2023-04-24 00:00:00 UTC | 1 | 1 | 0 |
| Apr 24 | 2023-04-24 00:00:00 UTC | 2023-05-01 00:00:00 UTC | 1 | 1 | 0 |
| May 1 | 2023-05-01 00:00:00 UTC | 2023-05-08 00:00:00 UTC | 1 | 1 | 0 |
| May 8 | 2023-05-08 00:00:00 UTC | 2023-05-15 00:00:00 UTC | 0 | 0 | 0 |
| May 15 | 2023-05-15 00:00:00 UTC | 2023-05-22 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
5 sourcesShow HN: GraphAr – A File Format for Archiving and Exchanging Graph Data
4 points · Open discussionShow HN: GraphAr – An Open-Source File Format for Graph Data Archive/Exchange
Hi, Hacker News! We're excited to announce the release of GraphAr, an open-source file format for archiving and exchanging graph data.
The landscape of graph processing systems is fragmented, with various types of systems, including graph databases, graph computation systems, and GNN systems. However, currently, there is no common file format for efficiently storing and exchanging graph data while maintaining its schema and graph semantics.
GraphAr is designed to address this issue by providing a simple, lightweight format for storing and exchanging graph data. GraphAr is a flexible and adaptable format that can be used across a variety of applications by decoupling the storage of metadata, adjacency, and properties. It is also designed to be efficient by leveraging existing formats such as ORC, Parquet, and CSV as much as possible. This
Read the rest
makes it easy to integrate with existing data processing systems and provides a level of familiarity for users.
Furthermore, GraphAr preserves the semantics of graphs and can maintain the schema of property graphs. This means that users can maintain the same graph structure across different systems, ensuring that the graph's semantics are not lost.
We have developed both a C++ library for accessing and creating GraphAr files, and a Spark library for transforming data into and from GraphAr files. With these libraries, it's easy to work with GraphAr files in your existing Spark connectors or C++ projects.
As GraphAr matures, we aim to move the project to a vendor-neutral venue, such as Apache, LF AI & Data. This will ensure that the project continues to be developed in an open and transparent manner, with contributions from a broad community of developers.
To get started with GraphAr, check out our GitHub repository, where you'll find detailed documentation and examples of how to use the libraries. We welcome any feedback or contributions to the project.
Let's make graph data archiving and exchange more efficient with GraphAr!
Show HN: GraphAr – Open-source file format for archiving/exchanging graph data
Hi, Hacker News! We're excited to announce the release of GraphAr, an open-source file format for archiving and exchanging graph data.
The landscape of graph processing systems is fragmented, with various types of systems, including graph databases, graph computation systems, and GNN systems. However, currently, there is no common file format for efficiently storing and exchanging graph data while maintaining its schema and graph semantics.
GraphAr is designed to address this issue by providing a simple, lightweight format for storing and exchanging graph data. GraphAr is a flexible and adaptable format that can be used across a variety of applications by decoupling the storage of metadata, adjacency, and properties. It is also designed to be efficient by leveraging existing formats such as ORC, Parquet, and CSV as much as possible. This
Read the rest
makes it easy to integrate with existing data processing systems and provides a level of familiarity for users.
Furthermore, GraphAr preserves the semantics of graphs and can maintain the schema of property graphs. This means that users can maintain the same graph structure across different systems, ensuring that the graph's semantics are not lost.
We have developed both a C++ library for accessing and creating GraphAr files, and a Spark library for transforming data into and from GraphAr files. With these libraries, it's easy to work with GraphAr files in your existing Spark connectors or C++ projects.
As GraphAr matures, we aim to move the project to a vendor-neutral venue, such as Apache, LF AI & Data. This will ensure that the project continues to be developed in an open and transparent manner, with contributions from a broad community of developers.
To get started with GraphAr, check out our GitHub repository, where you'll find detailed documentation and examples of how to use the libraries. We welcome any feedback or contributions to the project.
Let's make graph data archiving and exchange more efficient with GraphAr!
Show HN: GraphAr – Open-source file format for archiving/exchanging graph data
Hi, Hacker News! We're excited to announce the release of GraphAr, an open-source file format for archiving and exchanging graph data.
The landscape of graph processing systems is fragmented, with diverse types of systems, including graph databases, graph computation systems, and GNN systems. However, there is currently no common file format for efficiently storing and exchanging graph data that maintains its schema and graph semantics.
GraphAr is designed to address this issue by providing a simple, lightweight format for storing and exchanging graph data. GraphAr is a flexible and adaptable format that can be used across a variety of applications, by decoupling the storage of metadata, adjacency, and properties. It's also designed to be efficient, by leveraging existing formats such as ORC, Parquet, and CSV as much as possible. This mak
Read the rest
es it easy to integrate with existing data processing systems and provides a level of familiarity for users.
GraphAr also keeps the semantics of graphs, and can preserve the schema of property graphs. This means that users can maintain the same graph structure across different systems, ensuring that the semantics of the graph are not lost.
We've developed both a C++ library for accessing and creating GraphAr files, and a Spark library for transforming data into and from GraphAr files. With these libraries, it's easy to work with GraphAr files in your existing Spark connectors or C++ projects.
As GraphAr matures, we aim to move the project to a vendor-neutral venue, such as Apache, LF AI & Data. This will ensure that the project continues to be developed in an open and transparent manner, with contributions from a broad community of developers.
To get started with GraphAr, check out our GitHub repository, where you'll find detailed documentation and examples of how to use the libraries. We welcome any feedback or contributions to the project.
Let's make graph data archiving and exchange more efficient with GraphAr!