🚀 A fast WebAssembly interpreter, and the most universal #wasm runtime. Maintained by @vshymanskyy

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Wasm3 v0.9.0 is out!
🎉Wasm3 v0.9.0 is out!🎉 It is the first major update in FIVE years. That sounds like a software story. It isn't. Four years ago, I wrote that my house had been destroyed by russians, and that I had to put #Wasm3 into minimal maintenance. The war never went away. 1/4
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#Wasm3 v0.9.1-beta.1 is out. Your feedback is welcome 🔥 github.com/wasm3/wasm3/relea… --- #WebAssembly #WASM
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Yes, #Wasm3 engine runs #WebAssembly on @MicrochipTech ATmega1284P with 128KB flash and 16 KB RAM 🤓 #Harvard #architecture #retrocomputing
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❯❯❯❯ Expect in #Wasm3 v0.9.1 • Multiple Memories • Memory64 + Tables64 • Improved Module Linking #WebAssembly
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⚠️Recently, several #WebAssembly interpreters have appeared with "faster than Wasm3" claims. Obviously - more compact, embeddable interpreters pushing performance forward is healthy for the whole software ecosystem. 1/7
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That work also helped push embedded-Wasm discussions such as custom page sizes. The standard 64 KiB Wasm page is reasonable on desktops and servers, but painful on small MCUs. Making that constraint visible to the broader spec community mattered. 6/7
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Tail-call/TCO interpreter approach got more attention afterward. @JoshHaberman 's “Parsing protobuf at 2+GB/s” was inspired by Wasm3, and that line of work helped developing new efficient interpreters. Including the Python's new tail-call interpreter: docs.python.org/3/whatsnew/3… 7/7
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We're _days_ from releasing Wasm3 engine v0.9.0
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Wasm3 was created in #Kyiv / #Ukraine. Russia attacks my city with drones and ballistic missiles every day. Ordinary people are being killed while trying to keep living, building, and shipping. Fuck russia.
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I regret to inform the community that since my own house was destroyed by russians who invaded my country, Wasm3 has entered a minimal maintenance phase.
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Just published wasm2mpy 🚀 It allows you to run #WebAssembly as native @micropython modules. With this, you can now compile code from any #WASM-targeting language and run it on MicroPython at near-native speeds! github.com/vshymanskyy/wasm2…
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