CSV.jl VS DifferentialEquations.jl

Compare CSV.jl vs DifferentialEquations.jl and see what are their differences.

CSV.jl

Utility library for working with CSV and other delimited files in the Julia programming language (by JuliaData)
Julia CSV
Source Code
csv.juliadata.org
Suggest alternative
Edit details

DifferentialEquations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia. (by SciML)
differential-equations Differentialequations Julia Ode Sde Pde Dae Dde spde stochastic-processes stochastic-differential-equations delay-differential-equations partial-differential-equations differential-algebraic-equations dynamical-systems neural-differential-equations R Python scientific-machine-learning Sciml
Source Code
docs.sciml.ai
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
CSV.jl DifferentialEquations.jl
5 6
447 2,756
3.4% 1.6%
6.2 7.2
20 days ago 21 days ago
Julia Julia
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

CSV.jl

Posts with mentions or reviews of CSV.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-13.
  • Manifest.toml vs Project.toml in Julia
    4 projects | /r/Julia | 13 Apr 2023
    If you’ve used other package managers before, you may be wondering where the package versions are stored. While the Project.toml stores the IDs of the project’s direct dependencies, the Manifest.tomltracks the entire dependency tree, including both the direct and indirect dependencies and the versions of each. Because of this, the Manifest.tomlis always a larger file. For example, after adding just the CSV package to a fresh project, my Manifest.toml is already 200 lines long!
  • I'm trying to install ClimateTools.jl, and failing. The problem appears to track back to CSV.jl. Can anyone please help? Thanks1
    1 project | /r/Julia | 23 Dec 2022
    This thread seems to have different suggestions to what to do https://github.com/JuliaData/CSV.jl/issues/981 like ] add [email protected] ] pin Parsers
  • Teaching Python
    3 projects | /r/learnpython | 30 Apr 2021
    Julia also has the CSV.jl library for reading/writing csv files, the DataFrames.jl library for manipulating data like pandas, and Images.jl for image processing/analysis. However, since Julia is so much newer than Python, the Julia libraries are almost never as feature rich as their Python counterparts.
  • CSV.File read extremely slow
    2 projects | /r/Julia | 4 Apr 2021
    Is this CSV.jl package? I think it shouldn't take that long. What Julia version is yours?

DifferentialEquations.jl

Posts with mentions or reviews of DifferentialEquations.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-13.
  • Startups are building with the Julia Programming Language
    3 projects | news.ycombinator.com | 13 Dec 2022
    This lists some of its unique abilities:

    https://docs.sciml.ai/DiffEqDocs/stable/

    The routines are sufficiently generic, with regard to Julia’s type system, to allow the solvers to automatically compose with other packages and to seamlessly use types other than Numbers. For example, instead of handling just functions Number→Number, you can define your ODE in terms of quantities with physical dimensions, uncertainties, quaternions, etc., and it will just work (for example, propagating uncertainties correctly to the solution¹). Recent developments involve research into the automated selection of solution routines based on the properties of the ODE, something that seems really next-level to me.

    [1] https://lwn.net/Articles/834571/

  • From Common Lisp to Julia
    11 projects | news.ycombinator.com | 6 Sep 2022
    https://github.com/SciML/DifferentialEquations.jl/issues/786. As you could see from the tweet, it's now at 0.1 seconds. That has been within one year.

    Also, if you take a look at a tutorial, say the tutorial video from 2018,

  • When is julia getting proper precompilation?
    3 projects | /r/Julia | 10 Dec 2021
    It's not faith, and it's not all from Julia itself. https://github.com/SciML/DifferentialEquations.jl/issues/785 should reduce compile times of what OP mentioned for example.
  • Julia 1.7 has been released
    15 projects | news.ycombinator.com | 30 Nov 2021
    Let's even put raw numbers to it. DifferentialEquations.jl usage has seen compile times drop from 22 seconds to 3 seconds over the last few months.

    https://github.com/SciML/DifferentialEquations.jl/issues/786

  • Suggest me a Good library for scientific computing in Julia with good support for multi-core CPUs and GPUs.
    3 projects | /r/Julia | 18 Sep 2021
  • DifferentialEquations compilation issue in Julia 1.6
    1 project | /r/Julia | 27 Mar 2021
    https://github.com/SciML/DifferentialEquations.jl/issues/737 double posted, with the answer here. Please don't do that.