jspython
JSPython is a python-like syntax interpreter implemented with javascript that runs entirely in the web browser and/or in the NodeJS environment. (by jspython-dev)
awesome-compilers
:sunglasses: Curated list of awesome resources on Compilers, Interpreters and Runtimes (by aalhour)
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
featured
| jspython | awesome-compilers | |
|---|---|---|
| 7 | 7 | |
| 62 | 8,480 | |
| - | - | |
| 4.2 | 0.0 | |
| 7 months ago | about 1 year ago | |
| TypeScript | ||
| BSD 3-clause "New" or "Revised" License | 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.
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.
jspython
Posts with mentions or reviews of jspython.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-07.
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How to import JSON file into SQL Server Database
# Welcome to JSPython (https://jspython.dev) from sql-data-api import sqlDataApi fileData = openFileAsArray() items = fileData.data .map(r => r.fileName = fileData.fileName r.date = dateTime(r.date) r.avg = (r.high + r.low)/2 return r ) sqlDataApi('public-data-connect').save('publicData.table2Ex', items)
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Found in an interpreter
A true hero's PR got closed without a thank you or comment whatsoever :-( https://github.com/jspython-dev/jspython/pull/26
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How to open and analyse large JSON files online
# Welcome to JSPython (https://jspython.dev) data = openFileAsArray({ take: 1000 #skip: 1000 }).data # work with data array here return data
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Why we introduced our new coding language - JSPython?
JSPython is a python-like syntax interpreter implemented with javascript that runs entirely in the web browser and/or in the NodeJS environment. It does not transpile/compile your code into JavaScript, instead, it provides an interactive interpreter that reads Python-like code and carries out its instructions. With JSPython you should be able to safely interact with any JavaScript libraries or API’s with the popular Python-like syntax.
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JSPython is a javascript implementation of Python language that runs within web browser or NodeJS environment.
nice. I made an issue for you: https://github.com/jspython-dev/jspython/issues/22
- JSPython is a javascript implementation of Python language that runs in web browser or NodeJS environment.
awesome-compilers
Posts with mentions or reviews of awesome-compilers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-26.
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Can we create a thread for some of the best materials on CS available online?
I was looking at some stuff by Fogus and discovered:
https://github.com/fogus/papers-i-love
Really good resource for a bunch of important papers.
There's also some good information for compilers on github
https://github.com/aalhour/awesome-compilers
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Looking for some compiler development resources
There's a big list of resourses in aweasome-compilers, of those, the books i recomend are:
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Repositórios úteis do GitHub
Awesome Compilers
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Ask HN: I like studying the concept of abstractions
towards lisp related data structures / algorithms (aka recursive tree data structures & algorithms).
So, no distinction between metadata vs. structual storage unless noted.
Anything beyond that tends towards masters & upper level undergraduate level material. aka review the implimentation of a programming language for algorithm & data structure usage per language features.
aka Autonoma / regular expressions backround: Lisp in Small Pieces by Christian Queinnec; ; https://github.com/aalhour/awesome-compilers; On Lisp by Paul Graham; Let over Lambda by Doug Hoyte; C 'macro's pushed to maximum effect : https://libcello.org/
Left out Comparison of languages; Transform from lang a to lang b; and language implimentation as discussions tend to assume masters / upper level undergraduate knowledge - Ask HN: What resources do you recommend for compiler development?
- Resources for learning Compiler design?
- Teaching Compilers Backward
What are some alternatives?
When comparing jspython and awesome-compilers you can also consider the following projects:
xstate - Actor-based state management & orchestration for complex app logic.
sigmastate-interpreter - ErgoScript compiler and ErgoTree Interpreter implementation for Ergo blockchain