Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge. Learn more →
Snappy Alternatives
Similar projects and alternatives to Snappy
-
-
-
InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
-
-
-
-
-
tiny_jpeg.h
Single header lib for JPEG encoding. Public domain. C99. stb style. (by serge-rgb)
-
Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
-
-
-
InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
-
Nim
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
-
-
Panda3D
Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU
-
maple-diffusion
Stable Diffusion inference on iOS / macOS using MPSGraph
-
-
-
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Snappy reviews and mentions
-
Why I enjoy using the Nim programming language at Reddit.
Another example of Nim being really fast is the supersnappy library. This library benchmarks faster than Google’s C or C++ Snappy implementation.
-
Stretch iPhone to Its Limit: 2GiB Stable Diffusion Model Runs Locally on Device
It doesn't destroy performance for the simple reason that nowadays memory access has higher latency than pure compute. If you need to use compute to produce some data to be stored in memory, your overall throughput could very well be faster than without compression.
There have been a large amount of innovation on fast compression in recent years. Traditional compression tools like gzip or xz are geared towards higher compression ratio, but memory compression tends to favor speed. Check out those algorithms:
* lz4: https://lz4.github.io/lz4/
* Google's snappy: https://github.com/google/snappy
* Facebook's zstd in fast mode: http://facebook.github.io/zstd/#benchmarks
- What's the best way to compress strings?
-
A note from our sponsor - InfluxDB
www.influxdata.com | 8 Dec 2023
Stats
google/snappy is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Snappy is C++.