screenshotbot-oss
Petalisp
screenshotbot-oss | Petalisp | |
---|---|---|
19 | 17 | |
185 | 425 | |
1.6% | - | |
9.9 | 8.5 | |
5 days ago | about 2 months ago | |
Common Lisp | Common Lisp | |
Mozilla Public License 2.0 | GNU Affero General Public License v3.0 |
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.
screenshotbot-oss
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We need to talk about parentheses
Examples (for Common Lisp, so not citing Emacs): reddit v1, Google's ITA Software that powers airfare search engines (Kayak, Orbitz…), Postgres' pgloader (http://pgloader.io/), which was re-written from Python to Common Lisp, Opus Modus for music composition, the Maxima CAS, PTC 3D designer CAD software (used by big brands worldwide), Grammarly, Mirai, the 3D editor that designed Gollum's face, the ScoreCloud app that lets you whistle or play an instrument and get the music score,
but also the ACL2 theorem prover, used in the industry since the 90s, NASA's PVS provers and SPIKE scheduler used for Hubble and JWT, many companies in Quantum Computing, companies like SISCOG, who plans the transportation systems of european metropolis' underground since the 80s, Ravenpack who's into big-data analysis for financial services (they might be hiring), Keepit (https://www.keepit.com/), Pocket Change (Japan, https://www.pocket-change.jp/en/), the new Feetr in trading (https://feetr.io/, you can search HN), Airbus, Alstom, Planisware (https://planisware.com),
or also the open-source screenshotbot (https://screenshotbot.io), the Kandria game (https://kandria.com/),
and the companies in https://github.com/azzamsa/awesome-lisp-companies and on LispWorks and Allegro's Success Stories.
https://github.com/tamurashingo/reddit1.0/
http://opusmodus.com/
https://www.ptc.com/en/products/cad/3d-design
http://www.izware.com/mirai
https://apps.apple.com/us/app/scorecloud-express/id566535238
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Common Lisp Implementations in 2023
This LispWorks comment on reddit is very interesting:
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[cite]
As a Lispworks user, yes it is super pricey, but it does make sense for certain people. Arguably, Lispworks provides features that aren't available in any other programming language, Lisp or not.
* Support for just about every platform I can imagine. Yes it's expensive, but if I want to port to a new platform I can pay Lispworks, and get it over with. It'll mostly work without too much changes. It works on Android, iOS, Windows, Linux, Mac, and some really obscure systems.
* Application delivery with tree shaking. May be there are other languages that do this, but I haven't worked with something like this before in my career. (Maybe proguard for Java, but that's very rudimentary compared to LW's delivery). The tool I work on delivers a binary that people need to download during the CI jobs for every run, so having it be 100MB is way too big. After compression, my LW delivered binaries come to around 9MB.
* You mention support being expensive. Actually, for simple support questions LW does a pretty good job of responding back to you. I've asked tonnes of questions over the years, and have not paid for a separate support contract apart from the yearly maintenance contract. I suspect they like people asking questions, because then they fix those bugs and it becomes even more rock solid.
* The documentation is glorious. And in the off-chance that I need to know something that's not documented, I just mail them and they'll respond usually by the next working day.
* Very stable Java support (although the API could be better), let's me use the entire Java ecosystem of libraries when I need it.
* The platform itself is rock-solid. Now SBCL is fantastic, but when I ran my servers on SBCL, I would have a crash every now and then. With LW, I can have my server running weeks (current uptime is a month) with reloading code multiple times a day, and everything is still super stable.
There's more, but I think the rest is more negotiable. For instance, the FLI is a lot more polished than using CFFI, which makes a huge difference in productivity when writing native code. Or the fact that its remote-debugger facility can be used as a very stable protocol to programmatically control a remote LW process. I don't use the IDE btw, so I'm not even considering that. I don't use CAPI either, but I mean to someday.
2023, Arnold @tdrhq of Screenshotbot (https://github.com/screenshotbot/screenshotbot-oss) on reddit: https://www.reddit.com/r/Common_Lisp/comments/11979q4/common...
[/cite]
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Paparazzi 1.2 is out
You can avoid having to do the step of recording screenshots if you use a tool like Screenshotbot (https://github.com/screenshotbot/screenshotbot-oss) or Vizzy (https://github.com/workday/vizzy)
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I want to pursue this web app project - advice using CL?
Oh yeah, github.com/screenshotbot/screenshotbot-oss :)
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How to do screenshot tests on android
There are open source tools to achieve this workflow. I've personally built screenshotbot (https://screenshotbot.io / https://github.com/screenshotbot/screenshotbot-oss), I've also built the screenshot testing infrastructure at Facebook. Workday has open-sourced their own tool at https://github.com/workday/vizzy. AirBnb uses another commercial tool called Happo (https://happo.io). Use any of these services with Paparazzi.
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Why go with Paparazzi? Our journey with Android Screenshot Testing
There are a few open source tools to do this: there's a tool I built: https://github.com/screenshotbot/screenshotbot-oss similar to the infrastructure at Facebook, and there's another one built at Workday: https://github.com/workday/vizzy. These are screenshot-library agnostic services to notify you on Pull Requests when screenshots change.
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How Screenshot Tests Elevate our Android Testing Strategy — Inside GetYourGuide
Screenshotbot is completely open-source by the way: https://github.com/screenshotbot/screenshotbot-oss
- Building a Startup on Clojure
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Fun with Macros: Do-File
So, I'm in the process of defining something I'm calling an easy-macro. (You can see the code here, but I'm going to extract this into a quicklisp library once I'm happy with it: https://github.com/screenshotbot/screenshotbot-oss/blob/main/src/util/macros.lisp)
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Help with automated website testing, please
I'm the author Screenshotbot (https://github.com/screenshotbot/screenshotbot-oss) , and I think this is exactly what you need. Although the README claims to not support browsers, it does actually support browsers, both in the open source and non open source version. I just need to update the docs.
Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
What are some alternatives?
cl-webdriver-client - cl-webdriver-client is a client library for WebDriver (W3C specification).
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
qvm - The high-performance and featureful Quil simulator.
JWM - Cross-platform window management and OS integration library for Java
quilc - The optimizing Quil compiler.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
weblog - a weblog
magicl - Matrix Algebra proGrams In Common Lisp.
etaoin - Pure Clojure Webdriver protocol implementation
lish - Lisp Shell
ergolib - A library designed to make programming in Common Lisp easier
StatsBase.jl - Basic statistics for Julia