Search Results for "pipeline" - Page 6
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Showing 545 open source projects for "pipeline"
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Loggie
A lightweight, cloud-native data transfer agent and aggregator
Loggie is a lightweight, high-performance, cloud-native agent and aggregator based on Golang. Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. Configure Filebeat and Loggie... -
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Logging operator
Logging operator for Kubernetes
The Logging operator solves your logging-related problems in Kubernetes environments by automating the deployment and configuration of a Kubernetes logging pipeline. The Logging operator manages the log collectors and log forwarders of your logging infrastructure, and the routing rules that specify where you want to send your different log messages. You can filter and process the incoming log messages using the flow custom resource of the log forwarder to route them to the appropriate output... -
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Kubero
A free and self-hosted Heroku PaaS alternative for Kubernetes
Kubero [pronounced: Kube Hero] is a fully self-hosted Internal Developer Platform (IDP) that brings the workflows of Heroku to your Kubernetes cluster. It enables you to deploy your applications with a few clicks. It has a built-in CI/CD pipeline and supports multiple staging environments. Kubero initiates two containers: one for cloning your repository and another for building your app. Once the build is complete, Kubero will launch the final container and make it accessible via the configured... -
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SecretScanner
Find secrets and passwords in container images and file systems
... private. However, sometimes attackers can easily access secrets due to flawed security policies or inadvertent mistakes by developers. Sometimes developers use default secrets or leave hard-coded secrets such as passwords, API keys, encryption keys, SSH keys, tokens, etc. in container images, especially during rapid development and deployment cycles in CI/CD pipeline. Also, sometimes users store passwords in plain text. -
Qrvey allows SaaS companies to create richer products and bring them to market fasterQrvey is a low code embedded analytics platform built to help SaaS providers by simplifying the process of putting analytics tools in the hands of all users as fast as possible.
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Otter-Grader
A Python and R autograding solution
Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment... -
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gruntwork.io website
The gruntwork.io website
The Gruntwork team deploys a Reference Architecture for you, setting you up with all the foundational pieces you need to get started with AWS and Terraform, including your Landing Zone, network topology, CI / CD pipeline, guard rails, monitoring, out-of-the-box compliance, and more. Use the Gruntwork Infrastructure as Code Library (IaC Library), a collection of reusable Terraform code that has been proven in production at hundreds of companies, to deploy the rest of your infrastructure... -
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aqueduct LLM
Aqueduct allows you to run LLM and ML workloads on any infrastructure
Aqueduct is an MLOps framework that allows you to define and deploy machine learning and LLM workloads on any cloud infrastructure. Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing... -
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MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training
MedicalGPT training medical GPT model with ChatGPT training pipeline, implementation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT trains large medical models, including secondary pre-training, supervised fine-tuning, reward modeling, and reinforcement learning training. -
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Spring Cloud Config Server
External configuration (server and client) for Spring Cloud
... the deployment pipeline from dev to test and into production, you can manage the configuration between those environments and be certain that applications have everything they need to run when they migrate. The default implementation of the server storage backend uses git, so it easily supports labelled versions of configuration environments as well as being accessible to a wide range of tooling for managing the content. It is easy to add alternative implementations. -
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Mara Pipelines
A lightweight opinionated ETL framework, halfway between plain scripts
... processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and output logging. Cost based priority queues: nodes with higher cost (based on recorded run times) are run first. -
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Jitsu
Jitsu is an open-source Segment alternative
Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time... -
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pointblank
Data quality assessment and metadata reporting for data frames
With the pointblank package it’s really easy to methodically validate your data whether in the form of data frames or as database tables. On top of the validation toolset, the package gives you the means to provide and keep up-to-date with the information that defines your tables. For table validation, the agent object works with a large collection of simple (yet powerful!) validation functions. We can enable much more sophisticated validation checks by using custom expressions, segmenting... -
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NVIDIA Merlin
Library providing end-to-end GPU-accelerated recommender systems
NVIDIA Merlin is an open-source library that accelerates recommender systems on NVIDIA GPUs. The library enables data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes tools to address common feature engineering, training, and inference challenges. Each stage of the Merlin pipeline is optimized to support hundreds of terabytes of data, which is all accessible through easy-to-use APIs. For more information, see NVIDIA Merlin... -
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Compose
A machine learning tool for automated prediction engineering
Compose is a machine learning tool for automated prediction engineering. It allows you to structure prediction problems and generate labels for supervised learning. An end user defines an outcome of interest by writing a labeling function, then runs a search to automatically extract training examples from historical data. Its result is then provided to Featuretools for automated feature engineering and subsequently to EvalML for automated machine learning. Prediction problems are structured... -
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Cherrybomb
Cherrybomb is a CLI tool that helps you avoid undefined user behaviour
Cherrybomb is an CLI tool written in Rust that helps prevent incorrect code implementation early in development. It works by validating and testing your API using an OpenAPI file. Its main goal is to reduce security errors and ensure your API functions as intended. Cherrybomb makes sure your API is working correctly. It checks your API's spec file (OpenAPI Specification) for good practices and makes sure it follows the OAS rules. Then, it tests your API for common issues and vulnerabilities.... -
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Armeria
Your go-to microservice framework for any situation
Build a reactive microservice at your pace, not theirs. Armeria is your go-to microservice framework for any situation. You can build any type of microservice leveraging your favorite technologies, including gRPC, Thrift, Kotlin, Retrofit, Reactive Streams, Spring Boot and Dropwizard. Let's embrace the reality, we almost always have to deal with more than one protocol. It was once Thrift, today it's gRPC, and REST never gets old. At the same time, you sometimes have to handle health check... -
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Amazonka
A comprehensive Amazon Web Services SDK for Haskell
... an additional licensing clause in their header. GHC versions 8.8.4 and 8.10.7 are officially supported and tested on NixOS, Ubuntu, and macOS. GHC 8.6.5 may also work, but is not tested by our continuous integration pipeline. The Nix package manager is used to obtain and build the other dependencies in a hermetic environment. -
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TextBox
A text generation library with pre-trained language models github.com
TextBox 2.0 is an up-to-date text generation library based on Python and PyTorch focusing on building a unified and standardized pipeline for applying pre-trained language models to text generation. From a task perspective, we consider 13 common text generation tasks such as translation, story generation, and style transfer, and their corresponding 83 widely-used datasets. From a model perspective, we incorporate 47 pre-trained language models/modules covering the categories of general... -
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Tekton Pipelines
A cloud-native Pipeline resource
Tekton is a powerful and flexible open-source framework for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premise systems. Get started with Tekton. Tekton standardizes CI/CD tooling and processes across vendors, languages, and deployment environments. It works well with Jenkins, Jenkins X, Skaffold, Knative, and many other popular CI/CD tools. Tekton lets you create CI/CD systems quickly, giving you scalable, serverless, cloud native... -
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Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems... -
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Spring for GraphQL
Spring Integration for GraphQL
Spring for GraphQL provides support for Spring applications built on GraphQL Java. It is a joint collaboration between the GraphQL Java team and Spring engineering. Our shared philosophy is to provide as little opinion as we can while focusing on comprehensive support for a wide range of use cases. Spring for GraphQL is the successor of the GraphQL Java Spring project from the GraphQL Java team. It aims to be the foundation for all Spring, GraphQL applications. The project reached version... -
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre... -
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Easegress
A Cloud Native traffic orchestration system
... and so on. The Easegress can management the traffic and APIs, not only can do load balancing, canary development but also can aggregate and pipeline a number of APIs. This function automatically helps the website optimize its performance, such as: adding the cache, merging the requests, and reducing the network bandwidth. Sometimes, a site could have unexpectedly higher traffic, the Ease Gateway could help to protect the critical service for critical customers. -
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Task
A task runner / simpler Make alternative written in Go
... to install on your CI script and you're ready to use Task as part of your CI pipeline; Truly cross-platform: while most build tools only work well on Linux or macOS, Task also supports Windows thanks to this shell interpreter for Go. Great for code generation: you can easily prevent a task from running if a given set of files haven't changed since last run (based either on its timestamp or content). -
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GitHub Actions for Firebase
GitHub Action for interacting with Firebase
This Action for firebase-tools enables arbitrary actions with the firebase command-line client. Starting with version v2.1.2 each version release will point to a versioned docker image allowing for hardening our pipeline (so things don't break when I do something dump). On top of this, you can also point to a master version if you would like to test out what might not be deployed into a release yet. If you want to add a message to a deployment (e.g. the Git commit message) you need to take...
