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perspective-dev
perspective
Rust2017–2026
perspective-dev / perspective

perspective

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

20Distinct people
39Mentions
0Explicit recommenders
11.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

GitHub

Where it is used

No documented product use was verified in the last source check.

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:59:53 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 year39 dated mentions

Observed mentions: 2017-12-15 19:58:06 UTC to 2026-07-28 14:13:35 UTC.

0369122017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 11 mentions; 2 submissions, 9 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC110
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC312
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC615
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC404
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC606
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC1129
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC404
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC110

What Hacker News says

6 sources
Try this project I work on, https://perspective.finos.org/ . It comes with a Python library (that runs the exact same engine/code as in the wasm version), and even a JupyterLab plugin. You can run the engine fully in-python, in-Javascript (via wasm), or replicated between the two. Standalone Python virtual server example https://github.com/finos/perspective/tree/master/examples/to... JupyterLab demo on Binder https://mybinder.org/v2/gh/finos/perspective/master?urlpath=...
In Rows.com – Spreadsheet that supports external API integration and collaboration
Yes definitely. For example, the perspective pivoting engine (https://github.com/finos/perspective) supports arrow natively, so you can stream arrow buffers from a big data system directly to be manipulated in your browser (treating the browser as a thick client application). It's a single copy from network buffer into the webassembly heap to get it into the library.
In Apache Arrow 3.0
In Perspective (https://github.com/finos/perspective), we use Apache Arrow as a fast, cross-language/cross-network data encoding that is extremely useful for in-browser data visualization and analytics. Some benefits: - super fast read/write compared to CSV & JSON (Perspective and Arrow share an extremely similar column encoding scheme, so we can memcpy Arrow columns into Perspective wholesale instead of reading a dataset iteratively). - the ability to send Arrow binaries as an ArrayBuffer between a Python server and a WASM client, which guarantees compatibility and removes the overhead of JSON serialization/deserialization. - because Arrow columns are strictly typed, there's no need to infer data types - this helps with speed and correctness. - Compared to JSON/CSV, Arrow binaries have a super compact encoding that reduces network transp
Read the rest
ort time. For us, building on top of Apache Arrow (and using it wherever we can) reduces the friction of passing around data between clients, servers, and runtimes in different languages, and allows larger datasets to be efficiently visualized and analyzed in the browser context.
In Apache Arrow 3.0

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