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  • 1
    Armbian Linux Build Framework

    Armbian Linux Build Framework

    Armbian Linux Build Framework

    Powerful menu-driven configuration tool along with stock Debian utilities. BASH shell and lightweight XFCE-based desktop. Standard boot, config, and update methods with minimal user-space footprint. Special config utilities are optional. A distributed image is compressed to its real data size which starts below 1G. Login is possible via serial, HDMI/VGA or SSH. Boot loader and kernel optimizations, memory caching, ZRAM swap, and video acceleration where applicable. Images are made fully...
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  • 2
    SocketCluster

    SocketCluster

    Highly scalable realtime pub/sub and RPC framework

    Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster, you...
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  • 3
    Besu Ethereum Client

    Besu Ethereum Client

    An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client

    ... read the wiki for more details on how to submit a pull request (PR). Besu is an Apache 2.0 licensed, MainNet compatible, Ethereum client written in Java. Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB.
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  • 4
    observer_cli

    observer_cli

    Visualize Erlang/Elixir Nodes On The Command Line

    ... in and out of the node, number of garbage collector runs, words of memory that were garbage collected, and the global reductions count for the node. Total scheduler utilization will equal 1.0 when all schedulers have been active all the time between the two refresh intervals. The result being that there is a decent chunk of CPU usage that would be mostly free for scheduling actual Erlang work (assuming the schedulers are busy waiting more than trying to select tasks to run).
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  • 5
    ASP.NET Minimal APIs Made Easy

    ASP.NET Minimal APIs Made Easy

    A light-weight REST API development framework for ASP.Net 6

    It nudges you towards the REPR Design Pattern (Request-Endpoint-Response) for convenient & maintainable endpoint creation with virtually no boilerplate. Performance is on par with Minimal APIs. It's faster, uses less memory and does around 45k more requests per second than a MVC Controller in our benchmarks. Convenient business logic validation & error responses. Easy access to environment & configuration settings. Supports policy/permission/role/claim based security. In-process pub/sub event...
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  • 6
    Zappa - Serverless Python

    Zappa - Serverless Python

    Serverless Python

    ... too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies.
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  • 7
    Devtron

    Devtron

    Tool integration platform for Kubernetes

    ... leverages Kubernetes auto-scaling and centralized caching to give you unlimited cost-efficient CI workers. Supports pre-CI and post-CI integrations for code quality monitoring. Provides deployment metrics like; deployment frequency, lead time, change failure rate, and mean-time recovery. Seamlessly integrates with Grafana for continuous application metrics like CPU and memory usage, status code, throughput, and latency on the dashboard.
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  • 8
    TensorFlow Model Optimization Toolkit

    TensorFlow Model Optimization Toolkit

    A toolkit to optimize ML models for deployment for Keras & TensorFlow

    The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model...
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  • 9
    tsai

    tsai

    Time series Timeseries Deep Learning Machine Learning Pytorch fastai

    ... it when necessary) We've also added a new PredictionDynamics callback that will display the predictions during training. This is the type of output you would get in a classification task. New tutorial notebook on how to train your model with larger-than-memory datasets in less time achieving up to 100% GPU usage! See our new tutorial notebook on how to track your experiments with Weights & Biases
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  • 10
    NanoDet-Plus

    NanoDet-Plus

    Lightweight anchor-free object detection model

    Super fast and high accuracy lightweight anchor-free object detection model. Real-time on mobile devices. NanoDet is a FCOS-style one-stage anchor-free object detection model which using Generalized Focal Loss as classification and regression loss. In NanoDet-Plus, we propose a novel label assignment strategy with a simple assign guidance module (AGM) and a dynamic soft label assigner (DSLA) to solve the optimal label assignment problem in lightweight model training. We also introduce a...
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  • 11
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    ..., separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). File sizes, creation dates, dimensions, indication of truncated images and existance of EXIF metadata. Mostly global details about the dataset (number of records, number of variables, overall missigness and duplicates, memory footprint). Comprehensive and automatic list of potential data quality issues (high correlation, skewness, uniformity, zeros, missing values, constant values, between others).
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  • 12
    react-native-mmkv-storage

    react-native-mmkv-storage

    Encrypted mobile key-value storage framework for React Native

    ..., with or without encryption in a very fast and efficient way. Read about it on this blog post I wrote on dev.to. Starting from v0.5.0 the library has been rewritten in C++ on Android and iOS both. It employs React Native JSI making it the fastest storage option for React Native. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values to achieve the best performance.
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  • 13
    dqlite

    dqlite

    Embeddable, replicated and fault tolerant SQL engine

    Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (distributed SQLite) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client...
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  • 14
    SPX

    SPX

    A simple & straight-to-the-point PHP profiling extension

    ... a dedicated browser extension or command line launcher. Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). Able to collect data without losing context. For example Xhprof (and potentially its forks) aggregates data per caller / callee pairs, which implies the loss of the full call stack and forbids timeline or Flamegraph based analysis.
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  • 15
    awesome-single-cell

    awesome-single-cell

    Community-curated list of software packages and data resources

    Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to address...
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  • 16
    D-Tale

    D-Tale

    Visualizer for pandas data structures

    ... data structures. To help guard against users loading the same data to D-Tale multiple times and thus eating up precious memory, we have a loose check for duplicate input data. If you are running ipython<=5.0 then you also have the ability to adjust the size of your output cell for the most recent instance displayed. JupyterHub has an extension that allows to proxy port for user, JupyterHub Server Proxy.
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  • 17
    AWS SigV4 Library

    AWS SigV4 Library

    AWS library to sign AWS HTTP requests with Signature Version 4

    .... This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis, and validation of memory safety through the CBMC automated reasoning tool.
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  • 18
    AWS IoT Fleet Provisioning Library

    AWS IoT Fleet Provisioning Library

    Client library for using AWS IoT Fleet Provisioning service

    ... verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis, and validation of memory safety through the CBMC automated reasoning tool.
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  • 19
    AWS Secrets Manager Go Caching Client

    AWS Secrets Manager Go Caching Client

    Enables in-process caching of secrets for Go applications

    .... Follow the instructions to create an AWS account. To create a secret in AWS Secrets Manager, go to Creating Secrets and follow the instructions on that page. MaxCacheSize int is the maximum number of cached secrets to maintain before evicting secrets that have not been accessed recently. Hook CacheHook is used to hook in-memory cache updates.
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  • 20
    Fluent Bit Amazon Kinesis Firehose

    Fluent Bit Amazon Kinesis Firehose

    A Fluent Bit output plugin for Amazon Kinesis Data Firehose

    A Fluent Bit output plugin for Amazon Kinesis Data Firehose. This plugin will continue to be supported. However, we are pausing development on it and will focus on the high-performance version instead. If the features of the higher performance plugin are sufficient for your use cases, please use it. It can achieve higher throughput and will consume less CPU and memory. This plugin has been tested with Fluent Bit 1.2.0+. It may not work with older Fluent Bit versions. We recommend using...
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  • 21
    Fluent Bit Plugin for CloudWatch Logs

    Fluent Bit Plugin for CloudWatch Logs

    A Fluent Bit output plugin for CloudWatch Logs

    .... A template in the form of $(variable) can be set in log_group_name or log_stream_name. variable can be a map key name in the log message. To access sub-values in the map use the form $(variable['subkey']). Also, it can be replaced with special values to insert the tag, ECS metadata, or a random string in the name. It can achieve higher throughput and will consume less CPU and memory.
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  • 22
    Nitro Enclaves Command Line Interface

    Nitro Enclaves Command Line Interface

    Tooling for Nitro Enclave management

    ... merged into the upstream Linux kernel. The enclaves do not have access to a physical disk, just a RAM filesystem. One can configure the disk space by changing memory size or by using kernel command line arguments.
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  • 23
    AWS IoT Over-the-air Update Library

    AWS IoT Over-the-air Update Library

    Manage the notification of a newly available update

    The OTA library enables you to manage the notification of a newly available update, download the update, and perform cryptographic verification of the firmware update. Using the library, you can logically separate firmware updates from the application running on your devices. The OTA library can share a network connection with the application, saving memory in resource-constrained devices. In addition, the OTA library lets you define application-specific logic for testing, committing...
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  • 24
    HTTP Kit

    HTTP Kit

    Clojure HTTP server/client library with WebSocket support

    .../sec on even midrange hardware. Here is another test about how it stacks up with others. It's not only fast, but efficient! Each connection costs nothing but a few kB of memory. RAM usage grows O(n) with connections. Written from the ground-up to be lean, the entire client/server is available as a single ~90kB JAR with zero dependencies and ~3k lines of (mostly Java) code. Synchronous is simple. Asynchronous is fast & flexible.
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  • 25
    Urbit

    Urbit

    An operating function

    ...) in the kernel so app developers can focus on business logic. The entire OS is a single pure function that provides application developers with strong guarantees: automated persistence and memory management, repeatable builds, and support for hot code reloading. Urbit is a personal OS designed from scratch to run peer-to-peer applications. A clean-slate OS and network for the 21st century.
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