HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
JuliaDiff
ForwardDiff.jl
Julia2017–2024
JuliaDiff / ForwardDiff.jl

ForwardDiff.jl

Forward Mode Automatic Differentiation for Julia

Explore on GitHubRead Hacker News discussions
7Distinct people
7Mentions
0Explicit recommenders
1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Forward Mode Automatic Differentiation for Julia

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

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, 1:03:20 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 year7 dated mentions

Observed mentions: 2017-02-21 17:57:30 UTC to 2024-03-23 02:12:25 UTC.

0122017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 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): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

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 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
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 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

1 sources
oxinabox·Apr 8, 2020
We have so many AD packages than that in julia. Julia suffers the lisp problem for AD. http://winestockwebdesign.com/Essays/Lisp_Curse.html It is a real problem. One of my on going projects is ChainRules (http://www.juliadiff.org/ChainRulesCore.jl/dev/) which will unite them under one set of custom senstitivities and more generally make it easier to mix and match them I need to update the JuliaDiff website, I want to list all of them in a table with some some key points. Forward mode: - [ForwardDiff](https://github.com/JuliaDiff/ForwardDiff.jl) - [ForwardDiff2](https://github.com/YingboMa//ForwardDiff2.jl) Reverse Mode: - [Nabla](https://github.com/invenia/Nabla.jl/) - [Tracker](https://github.com/FluxML/Tracker.jl) - [Yota](https://github.com/dfdx/Yota.jl) - [Zygote](https://github.com/FluxML/Zygote.jl) - [ReverseDiff](https://github.com
Read the rest
/JuliaDiff/ReverseDiff.jl) - [AutoGrad.jl](https://github.com/denizyuret/AutoGrad.jl) - [NiLang](https://github.com/GiggleLiu/NiLang.jl) (arguably not reverse mode) Symbolic: - [ModelingToolKit](https://github.com/JuliaDiffEq/ModelingToolkit.jl) - [XGrad.jl](https://github.com/dfdx/XGrad.jl) Finite Differencing: - [Calculus](https://github.com/JuliaMath/Calculus.jl) (please stop) - [FiniteDifferences](https://github.com/JuliaDiff/FiniteDifferences.jl) - [FiniteDiff](https://github.com/JuliaDiff/FiniteDiff.jl)
In Jax – Composable transformations of Python and NumPy programs

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.