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fal-ai
fal
Python2022–2023
fal-ai / fal

fal

⚡ Fastest way to serve open source ML models to millions

2Distinct people
2Mentions
0Explicit recommenders
979GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

⚡ Fastest way to serve open source ML models to millions

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, 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 week2 dated mentions

Observed mentions: 2022-06-15 09:40:32 UTC to 2023-01-12 22:29:35 UTC. Weeks start Monday, UTC.

012022-06-13 00:00:00 UTC to 2022-06-20 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 132022-06-20 00:00:00 UTC to 2022-06-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-06-27 00:00:00 UTC to 2022-07-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-04 00:00:00 UTC to 2022-07-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-11 00:00:00 UTC to 2022-07-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-18 00:00:00 UTC to 2022-07-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-25 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 2022-08-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-08 00:00:00 UTC to 2022-08-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-15 00:00:00 UTC to 2022-08-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-22 00:00:00 UTC to 2022-08-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-29 00:00:00 UTC to 2022-09-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-05 00:00:00 UTC to 2022-09-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-12 00:00:00 UTC to 2022-09-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-19 00:00:00 UTC to 2022-09-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-26 00:00:00 UTC to 2022-10-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 262022-10-03 00:00:00 UTC to 2022-10-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-10 00:00:00 UTC to 2022-10-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-17 00:00:00 UTC to 2022-10-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-24 00:00:00 UTC to 2022-10-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-31 00:00:00 UTC to 2022-11-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-07 00:00:00 UTC to 2022-11-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-14 00:00:00 UTC to 2022-11-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-21 00:00:00 UTC to 2022-11-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-28 00:00:00 UTC to 2022-12-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-05 00:00:00 UTC to 2022-12-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-12 00:00:00 UTC to 2022-12-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-19 00:00:00 UTC to 2022-12-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-26 00:00:00 UTC to 2023-01-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-02 00:00:00 UTC to 2023-01-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-09 00:00:00 UTC to 2023-01-16 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 9

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
Jun 132022-06-13 00:00:00 UTC2022-06-20 00:00:00 UTC110
Jun 202022-06-20 00:00:00 UTC2022-06-27 00:00:00 UTC000
Jun 272022-06-27 00:00:00 UTC2022-07-04 00:00:00 UTC000
Jul 42022-07-04 00:00:00 UTC2022-07-11 00:00:00 UTC000
Jul 112022-07-11 00:00:00 UTC2022-07-18 00:00:00 UTC000
Jul 182022-07-18 00:00:00 UTC2022-07-25 00:00:00 UTC000
Jul 252022-07-25 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 12022-08-01 00:00:00 UTC2022-08-08 00:00:00 UTC000
Aug 82022-08-08 00:00:00 UTC2022-08-15 00:00:00 UTC000
Aug 152022-08-15 00:00:00 UTC2022-08-22 00:00:00 UTC000
Aug 222022-08-22 00:00:00 UTC2022-08-29 00:00:00 UTC000
Aug 292022-08-29 00:00:00 UTC2022-09-05 00:00:00 UTC000
Sep 52022-09-05 00:00:00 UTC2022-09-12 00:00:00 UTC000
Sep 122022-09-12 00:00:00 UTC2022-09-19 00:00:00 UTC000
Sep 192022-09-19 00:00:00 UTC2022-09-26 00:00:00 UTC000
Sep 262022-09-26 00:00:00 UTC2022-10-03 00:00:00 UTC000
Oct 32022-10-03 00:00:00 UTC2022-10-10 00:00:00 UTC000
Oct 102022-10-10 00:00:00 UTC2022-10-17 00:00:00 UTC000
Oct 172022-10-17 00:00:00 UTC2022-10-24 00:00:00 UTC000
Oct 242022-10-24 00:00:00 UTC2022-10-31 00:00:00 UTC000
Oct 312022-10-31 00:00:00 UTC2022-11-07 00:00:00 UTC000
Nov 72022-11-07 00:00:00 UTC2022-11-14 00:00:00 UTC000
Nov 142022-11-14 00:00:00 UTC2022-11-21 00:00:00 UTC000
Nov 212022-11-21 00:00:00 UTC2022-11-28 00:00:00 UTC000
Nov 282022-11-28 00:00:00 UTC2022-12-05 00:00:00 UTC000
Dec 52022-12-05 00:00:00 UTC2022-12-12 00:00:00 UTC000
Dec 122022-12-12 00:00:00 UTC2022-12-19 00:00:00 UTC000
Dec 192022-12-19 00:00:00 UTC2022-12-26 00:00:00 UTC000
Dec 262022-12-26 00:00:00 UTC2023-01-02 00:00:00 UTC000
Jan 22023-01-02 00:00:00 UTC2023-01-09 00:00:00 UTC000
Jan 92023-01-09 00:00:00 UTC2023-01-16 00:00:00 UTC101

What Hacker News says

2 sources
We built a dbt adapter that helps you run local Python code with your dbt project with any other data warehouse. You can see it here: https://github.com/fal-ai/fal/tree/main/adapter It is very simple to use, but also very feature rich. For example, you can run each dbt model in an isolated Python environment and avoid dependency hell. We use isolate, an open source library we built to do that: https://github.com/fal-ai/isolate
In Dbt-fal: a dbt Python adapter with local code execution

What are the 5 hottest dbt Repositories one should star on GitHub 2022?

What are the 5 hottest dbt Repositories one should star on Github 2022? dbt is a software framework that sits in the middle of the ELT process. It represents the transformative layer after loading data from an original source. Dbt combines SQL with software engineering principles. Here are my top5! - Lightdash (https://github.com/lightdash/lightdash): Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface. - ⏎ re_data (https://github.com/re-data/re-data): Re-Data is an abstraction layer that helps users monitor dbt projects and their underlying data. For example, you get alerts when a test failed or a data anomaly occurs in a dbt project. - evidence (https://github.com/evidence-dev/evidence): Evidence is another tool for lightweight BI reporting. With Evidence, you ca
Read the rest
n build simple reports in "medium style" using SQL queries and Markdown. - Kuwala (https://github.com/kuwala-io/kuwala): With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time. - fal ai (https://github.com/fal-ai/fal): Fal helps to run Python scripts directly from the dbt project. For example, you can load dbt models directly into the Python context which helps to apply Data Science libraries like SKlearn and Prophet in the dbt models.
4 points · Open discussion

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