moving-averages VS ad

Compare moving-averages vs ad and see what are their differences.

moving-averages

By joshuaclayton

ad

Automatic Differentiation (by ekmett)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
moving-averages ad
0 6
3 361
- -
0.0 5.5
almost 7 years ago 17 days ago
Haskell Haskell
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

moving-averages

Posts with mentions or reviews of moving-averages. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning moving-averages yet.
Tracking mentions began in Dec 2020.

ad

Posts with mentions or reviews of ad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-27.

What are some alternatives?

When comparing moving-averages and ad you can also consider the following projects:

linear - Low-dimensional linear algebra primitives for Haskell.

modular-arithmetic - A useful type for working with integers modulo some constant.

roots - 1-dimensional root-finding algorithms in Haskell

nimber - Finite nimber arithmetic

search - infinite search in finite time with Hilbert's epsilon

lambda-calculator - An introduction to the Lambda Calculus

gamma - Haskell implementation of gamma and incomplete gamma functions

hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.

matrix - A Haskell native implementation of matrices and their operations.

gsl-random - Haskell bindings to the GSL random number generators and distribution functions

computational-algebra - General-Purpose Computer Algebra System as an EDSL in Haskell

optimization - Some numerical optimization methods implemented in Haskell