FunSQL.jl
DifferentialEquations.jl
FunSQL.jl | DifferentialEquations.jl | |
---|---|---|
4 | 6 | |
138 | 2,756 | |
2.2% | 0.7% | |
8.0 | 7.2 | |
1 day ago | 24 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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FunSQL.jl
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PRQL a simple, powerful, pipelined SQL replacement
You might enjoy the FunSQL library; SQL verbs are represented using regular Julia objects and you pipeline them together to build bigger queries. A key difference to other SQL builders is that you assemble a tree of "tabular operations" instead of a SQL syntax tree.
https://github.com/MechanicalRabbit/FunSQL.jl
- FunSQL.jl – Julia library for compositional construction of SQL queries
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PRQL is a modern language for transforming data — a simpler and more powerful SQL
The developers of HTSQL are working now on FunSQL – https://github.com/MechanicalRabbit/FunSQL.jl
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SQL: The difference between WHERE and HAVING
There is no HAVING and the you can use any tabular operators in any order. Aggregates are also separated from grouping and can be used in any context after Group is applied.
[0] https://github.com/MechanicalRabbit/FunSQL.jl
DifferentialEquations.jl
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Startups are building with the Julia Programming Language
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/
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From Common Lisp to Julia
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,
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When is julia getting proper precompilation?
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.
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Julia 1.7 has been released
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.
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DifferentialEquations compilation issue in Julia 1.6
https://github.com/SciML/DifferentialEquations.jl/issues/737 double posted, with the answer here. Please don't do that.
What are some alternatives?
TablaM - The practical relational programing language for data-oriented applications
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
tresql - Shorthand SQL/JDBC wrapper language, providing nested results as JSON and more
diffeqpy - Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
Gridap.jl - Grid-based approximation of partial differential equations in Julia
Pluto.jl - 🎈 Simple reactive notebooks for Julia
ApproxFun.jl - Julia package for function approximation
SQLToy - Learn SQL by creating a SQL database in JavaScript
DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
prql-query - Query and transform data with PRQL
FFTW.jl - Julia bindings to the FFTW library for fast Fourier transforms