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towhee-io
towhee
Python2022–2023
towhee-io / towhee

towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

AI & Machine LearningData & DatabasesCreative & MediaSystems & InfrastructureLearning & ReferenceNetworking
Explore on GitHubRead Hacker News discussions
3Distinct people
4Mentions
1Explicit recommenders
3.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

As mentioned in the article, I recommend Milvus (https://milvus.io) - it's open source and cloud native with standalone versions available. Alternatively, if you're looking for…

mrintellectual used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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, 5:04:57 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 month4 dated mentions

Observed mentions: 2022-02-23 17:31:05 UTC to 2023-03-26 01:13:34 UTC.

012022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 20222022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 20222022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 2023

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
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC101
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC000
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC101
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC000
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC101
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC101

What Hacker News says

4 sources
fzliu·Mar 26, 2023
I work at Zilliz (https://zilliz.com) and am a part of the Milvus community. Here are some other resources in case anybody's interested in learning more about embeddings, vector search, and vector databases: 1) Embedding crash course https://developers.google.com/machine-learning/crash-course/... 2) What is a vector database? https://zilliz.com/learn/what-is-vector-database 3) Introduction to vector similarity search https://zilliz.com/blog/vector-similarity-search 4) ANN benchmarks http://ann-benchmarks.com 5) Unstructured data ETL https://github.com/towhee-io/towhee
In Vector database built for scalable similarity search

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