chisel
pytype
chisel | pytype | |
---|---|---|
25 | 21 | |
3,717 | 4,602 | |
1.1% | 1.8% | |
9.7 | 9.8 | |
8 days ago | 10 days ago | |
Scala | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
chisel
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Calyx: Intermediate Language for Hardware Accelerators
My first instinct was to ask "Does this play well with CIRCT?" And thankfully they answer that right away in the README.
I'm personally of the opinion that there is a LOT of room for improvement in the hardware design tooling space, but a combination of market consolidation, huge pressure to meet deadlines, and an existing functional pipeline of Verilog/VHDL talent is preventing changes.
That's not to say "Verilog/VHDL are bad", because clearly they've been good enough to support nearly all of the wonderful designs powering today's devices. But it is to say, "the startup scene for hardware will continue to look anemic compared to the SaaS scene until someone gives me all of the niceties I have for building SaaS tools in software."
A huge amount of ideas (and entire designs) start off as software sims, which enables kernel/compiler engineers to start building out support for new hardware before it's manufactured.
There is some interesting work going on at SiFive building hardware with Chisel[1], as well as some interesting work lead by a professor at William and Mary to improve simulations[2].
1: https://www.chisel-lang.org
2: https://github.com/sarchlab/akita
- Chisel: A Modern Hardware Design Language
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I may be creating an abomination
Inspired by Scala. Which can do a whole lot more, and worse. The currently biggest competitor to decades old hardware description languages is a Scala DSL.
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An addressable little explored language gap: HDL - Hardware Description Languages, any language used for electronic circuit design, description, and specs
Already mentioned Chisel: https://www.chisel-lang.org/
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Trying to learn and work with FPGAs
I'm also a hobbyist. There are a number of alternative HDLs out there, and as hobbyists we can deviate more from the mainstream of (System)Verilog and VHDL if we desire, though you'll still need to be able to read them. In the past I've done Verilog, but lately I've been using SpinalHDL and have been really enjoying it. Its close relative Chisel also makes appearances in the RISC-V space.
- Alternate HDL language and Physical Design/EDA tools?
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Learning VDHL after knowing Verilog
What are your thoughts on other HDLs like Chisel or BlueSpec when it comes to better type checking?
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Learning Verilog and FPGA
I started playing with FPGAs and HDLs a couple years ago with no hardware design background (I'm mostly a software architect/engineer) and in the end found that a "higher-level" HDL suited me better.
I chose Chisel (https://www.chisel-lang.org/) an HDL based on Scala (technically a Scala DSL) which can provide many facilities to hardware generation.
I'd highly advise looking into it although also knowing Verilog helps a lot.
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If you keep clicking "Give 15 seconds" on Lichess, eventually it overflows to a negative number and you win
But some go further and ask "what if when we add a soldering station on top of it?"
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What universities have good PhD programmes in digital design?
In recent years Chisel HDL, RISC V, and SiFive came out of their architecture group, to name a few.
pytype
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Google lays off its Python team
it's open source! check out https://github.com/google/pytype and https://github.com/google/pytype/blob/main/docs/developers/t... for more on the multi-file runner
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Enhance Your Project Quality with These Top Python Libraries
Pytype checks and infers types for your Python code - without requiring type annotations. Pytype can catch type errors in your Python code before you even run it.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Pyre from Meta, pyright from Microsoft and PyType from Google provide additional assistance. They can 'infer' types based on code flow and existing types within the code.
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Mypy 1.6 Released
we've written a little bit about what pytype does differently here: https://google.github.io/pytype/
our main focus is to be able to work with unannotated and partially-annotated code, and treat it on par with fully annotated code.
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Mypy 1.5 Released
So, I tried out pytype the other day, and it was a not a good experience. It doesn't support PEP 420 (implicit namespace packages), which means you have to litter __init__.py files everywhere, or it will create filename collisions. See https://github.com/google/pytype/issues/198 for more information. I've since started testing out pyre.
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Writing Python like it's Rust
What is the smart money doing for type checking in Python? I've used mypy which seems to work well but is incredibly slow (3-4s to update linting after I change code). I've tried pylance type checking in VS Code, which seems to work well + fast but is less clear and comprehensive than mypy. I've also seen projects like pytype [1] and pyre [2] used by Google/Meta, but people say those tools don't really make sense to use unless you're an engineer for those companies.
Am just curious if mypy is really the best option right now?
[1] https://github.com/google/pytype
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PyMEL's new type stubs
At Luma, we're using mypy to check nearly our entire code-base, including our Maya-related code, thanks to these latest changes. Fully adopting mypy (or an alternative like pytype) is no small feat, but working within a fully type-annotated code base with a type checker to enforce accuracy is like coding in a higher plane of existence: fewer bugs, easier code navigation, faster dev onboarding, easier refactoring, and dramatically increased confidence about every change. I wrote about some deeper insights in these posts.
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The Python Paradox
Check out https://github.com/google/pytype
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Forma: An efficient vector-graphics renderer
i work on https://github.com/google/pytype which is largely developed internally and then pushed to github every few days. the github commits are associated with the team's personal github accounts. pytype is not an "official google product" insofar as the open source version is presented as is without official google support, but it is "production code" in the sense that it is very much used extensively within google.
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Ruff – an fast Python Linter written in Rust
pytype dev here - thanks for the kind words :) whole-program analysis on unannotated or partially-annotated code is our particular focus, but there's surprisingly little dark PLT magic involved; in particular you don't need to be an academic type theory wizard to understand how it works. our developer docs[1] have more info, but at a high level we have an interpreter that virtually executes python bytecode, tracking types where the cpython interpreter would have tracked values.
it's worth exploring some of the other type checkers as well, since they make different tradeoffs - in particular, microsoft's pyright[2] (written in typescript!) can run incrementally within vscode, and tends to add new and experimentally proposed typing PEPs faster than we do.
[1] https://github.com/google/pytype/blob/main/docs/developers/i...
What are some alternatives?
SpinalHDL - Scala based HDL
mypy - Optional static typing for Python
myhdl - The MyHDL development repository
pyright - Static Type Checker for Python
amaranth - A modern hardware definition language and toolchain based on Python
pyre-check - Performant type-checking for python.
cocotb - cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python
pyannotate - Auto-generate PEP-484 annotations
skywater-pdk - Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.
pyanalyze - A Python type checker
bsc - Bluespec Compiler (BSC)
ruff - An extremely fast Python linter and code formatter, written in Rust.