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Tinycc Alternatives
Similar projects and alternatives to tinycc
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oils
Oils is our upgrade path from bash to a better language and runtime. It's also for Python and JavaScript users who avoid shell!
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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v
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
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QEMU
Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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mir
A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter based on MIR
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c2nim
c2nim is a tool to translate Ansi C code to Nim. The output is human-readable Nim code that is meant to be tweaked by hand before and after the translation process.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
tinycc discussion
tinycc reviews and mentions
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Autoconf makes me think we stopped evolving too soon
A better solution is just to write a plain ass shell script that tests if various C snippets compile.
https://github.com/oilshell/oil/blob/master/configure
https://github.com/oilshell/oil/blob/master/build/detect-pwe...
Not an unholy mix of m4, shell, and C, all in the same file.
---
These are the same style as a the configure scripts that Fabrice Bellard wrote for tcc and QEMU.
They are plain ass shell scripts, because he actually understands the code he writes.
https://github.com/qemu/qemu/blob/master/configure
https://github.com/TinyCC/tinycc/blob/mob/configure
OCaml’s configure script is also “normal”.
You don’t have to copy and paste thousands of lines of GNU stuff that you don’t understand.
(copy of lobste.rs comment)
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AST vs. Bytecode: Interpreters in the Age of Meta-Compilation [pdf]
I can highly recommend libtcc (https://github.com/TinyCC/tinycc.git) for this kind of thing. I recently ported the code developed in linux on an ARM chromebook to a generic windows box in 20 minutes.
- Are there faster alternatives to GCC and Clang for C?
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Offensive Nim
I think it's a pretty nice prog.lang. You may be very happy. Though nothing is perfect, there is much to recommend it. By now I've written over 150 command-line tools with https://github.com/c-blake/cligen . A few are at https://github.com/c-blake/bu or https://github.com/c-blake/nio (screw 1970s COBOL-esque SQL) or in their own repos.
If it helps, I like to use the "mob branch" [0] of TinyCC/tcc [1] for really fast builds in debugging mode, but this may only work if you toss `@if tcc: mm:markAndSweep @end` or similar in your nim.cfg. Then I have a little `@if r: ...` so I can say `nim c -d:r foo` for a release build with gcc/whatever.
[0] https://repo.or.cz/w/tinycc.git
[1] https://en.wikipedia.org/wiki/Tiny_C_Compiler
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Bringing a dynamic environment to C: My linker project
I have found the libtcc from https://github.com/TinyCC/tinycc to be absolutely fantastic. I'm using it to instantaneously compile the C output from my hobby language to create a repl. Once I had the compiler in good shape it allowed me to create a 100% compatible interpreter for (basically) free.
The libtcc API is minimal. For my needs that has been 100% sufficient and a pleasure to work with.
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tcc on RasPi, func pointers to standard functions are nil
The latest version that people are working with can be found on the 'mob' branch at https://repo.or.cz/w/tinycc.git
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Optimizing GoAWK with a bytecode compiler and virtual machine
Instead of interpreters, if one has less of a "must be a full featured prog.lang" mentality and a fast compiler like Go or Nim [1] (or is willing to wait, for slow optimizing compiles to apply against big data sets) then an end-to-end simpler design for "one-liners" (or similarly simple programs) is the whole program generator. Maybe "big IFs", but also maybe not.
To back up my simplicity claim, consider rp [2] -- like 60 non-comment/import/signature lines of code for the generator. Generated programs are even smaller. But, you can deploy gcc or clang or whatever against them and make fast libraries in the host language.
Why, if you are willing to write those little generation command options in C99 then you can compile the harness with tcc [3] in about 1 millisecond which is faster than most interpreter start-up times - byte code or otherwise - and can link against gcc -O3 (or whatever) helper libraries.
Anyway, I only write this because in my experience few people realize how much development cost they buy into when then insist on a full featured prog.lang, not to criticize Ben's work. You also make users need to learn quirks of that new language instead of the quirks of a "harness" which may be fewer.
[1] https://forum.nim-lang.org/
[2] https://github.com/c-blake/cligen/blob/master/examples/rp.ni...
[3] https://repo.or.cz/w/tinycc.git
- What's the best portfolio project that you have ever seen?
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CHICKEN 5.3.0 has been released
I think it is. At least there have been some recent activity in https://repo.or.cz/w/tinycc.git
- Cwerg - an opinionated, light-weight compiler backend
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A note from our sponsor - InfluxDB
www.influxdata.com | 13 Sep 2024
Stats
TinyCC/tinycc is an open source project licensed under GNU Lesser General Public License v3.0 only which is an OSI approved license.
The primary programming language of tinycc is C.