Search Results for "drift"
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Showing 95 open source projects for "drift"
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1
Frouros
Frouros is an open-source Python library for drift detection
Frouros is a Python library for drift detection in machine learning systems that provides a combination of classical and more recent algorithms for both concept and data drift detection. -
2
Alibi Detect
Algorithms for outlier, adversarial and drift detection
Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection. -
3
WhisperX
Automatic Speech Recognition with Word-level Timestamps
...The system enables batched inference, significantly increasing transcription speed while maintaining high accuracy. It is particularly effective for long recordings, where traditional approaches may suffer from drift, repetition, or misalignment. whisperx also supports speaker diarization, allowing identification of different speakers within a conversation. Its architecture combines multiple components to enhance both performance and usability in real-world transcription tasks. Overall, whisperx provides a more robust and scalable solution for high-quality speech-to-text applications. -
4
NannyML
Detecting silent model failure. NannyML estimates performance
NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, and interactive visualizations, is completely model-agnostic, and currently supports all tabular classification use cases. NannyML closes the loop with performance monitoring and post deployment data science, empowering data scientist to quickly understand and automatically detect silent model failure. ... -
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5
Arize Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. -
6
whylogs
The open standard for data logging
whylogs is an open-source library for logging any kind of data. With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond... -
7
Skeema
Declarative pure-SQL schema management for MySQL and MariaDB
Skeema is a schema management and version control tool for MySQL and MariaDB databases. It helps developers manage database schemas in a Git-like workflow, supporting collaboration and versioning. -
8
Paper2Slides
From Paper to Presentation in One Click
...It uses an extraction approach intended to capture critical insights comprehensively, including important visuals and data points that often get missed in naive summarization. A major focus is traceability: generated slide content is designed to remain linked back to the source material so you can verify accuracy and reduce information drift. It also offers styling flexibility, letting you use built-in themes or describe a custom design direction in natural language for themed outputs. -
9
pip-tools
A set of tools to keep your pinned Python dependencies fresh
...It also resolves transitive dependencies and synchronizes your environment with pinned versions. Widely used in both development and CI workflows, it boosts reliability and eliminates drift in deployed setups. -
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10
NetAlertX
Centralized network visibility and continuous asset discovery
NetAlertX is a network visibility and asset intelligence framework for continuous device discovery and monitoring. It is designed for homelabs, IT teams, MSPs, NOCs, and distributed environments that need a centralized view of connected assets. The platform monitors devices, detects changes, tracks unauthorized hardware, and helps maintain a source of truth for network infrastructure. It supports discovery through methods such as arp-scan, Pi-hole imports, DHCP lease imports, UniFi... -
11
sqldef
Idempotent schema management for MySQL, PostgreSQL, and more
sqldef is a schema migration tool that automatically generates SQL migration statements by comparing database schemas. Instead of writing migrations manually, developers define the desired schema, and sqldef computes the difference. It's compatible with MySQL, PostgreSQL, SQLite, and others, making migrations safer and more maintainable. -
12
Celest
The Flutter cloud platform
Celest is the Flutter cloud platform. We enable Flutter and Dart developers to declaratively define their backend infrastructure in Dart. To interact with the running environment, Celest will generate a Dart client which you can use in any Dart or Flutter project. This client is generated in the client/ directory of your celest/ folder. As you make changes in the local environment, this client will be updated to reflect those changes. To get started with Celest, you'll need to configure your... -
13
Terrascan
Detect compliance and security violations across Infrastructure
...It leverages the Open Policy Agent (OPA) engine so that you can easily create custom policies using the Rego query language. Monitor provisioned cloud infrastructure for configuration changes that introduce posture drift, and enables reverting to a secure posture. Detect security vulnerabilities and compliance violations. -
14
Talos Linux
Talos Linux is a modern Linux distribution built for Kubernetes
...Talos reduces your attack surface. It's minimal, hardened and immutable. All API access is secured with mutual TLS (mTLS) authentication. Talos eliminates configuration drift, reduces unknown factors by employing immutable infrastructure ideology, and delivers atomic updates. Talos simplifies your architecture, increases your agility, and always delivers current stable Kubernetes and Linux versions. Talos consists of only a handful of binaries and shared libraries: just enough to run containerd and a small set of system services. -
15
LongCat-Video
Foundational video generation model with 13.6B parameters
...A unified architecture handles text-to-video, image-to-video, and video-continuation tasks without separate models. It is pretrained for continuation, allowing it to create minutes-long sequences while limiting color drift and quality loss. A coarse-to-fine strategy operates across time and space to produce 720p video at 30 frames per second efficiently. Block Sparse Attention reduces high-resolution inference costs, while multi-reward GRPO training improves visual quality and prompt alignment. The repository includes inference scripts for single- and multi-GPU execution, model-download instructions, and interactive generation examples. ... -
16
jarrid-keyper
Keyper by Jarrid is a suite of crypto key management APIs
Keyper by Jarrid is a suite of crypto key management APIs to simplify key creation, management, deployment, and encryption/decryption in a standardized and secure way. Operations are file-based and can be easily automated, tracked, audited, and managed via file-based processes such as GitOps. Fully integrated with cloud KMS services such as AWS KMS or GCP KMS, leverage managed crypto key generation and reduce infrastructure maintenance burden. -
17
dsh-routing-suite
dsh-routing-suite — injector + router-standard kit
...The included router presets choose among planning, execution, weak self-classification, and deeper reasoning behaviors based on the task and model. Near-field guidance is injected after user messages to keep routing focused and resist drift. Static anchors reinforce recall, convergence, and staying on task during longer work. The suite also exposes developer tools for checking router state, changing modes, and launching mode-specific subagents. -
18
Planning with Files
Claude Code skill implementing Manus-style persistent planning
...Inspired by high-profile agent workflows and context engineering patterns, it uses persistent markdown files (like task_plan.md, progress.md, and findings.md) as the “working memory” for AI agents, overcoming the limitations of ephemeral memory and large context windows that often lead to drift or information loss. Once installed, the plugin supports commands to create and manage planning files, integrates with multiple IDEs and CLI environments, and ensures sessions can recover progress even when context limits are reached. -
19
Agent Control
Centralized agent control plane for governing runtime agent behavior
...The platform evaluates agent inputs and outputs against configurable policies to reduce risks such as prompt injection, unsafe responses, sensitive data exposure, and policy drift. It is designed for production environments where organizations need observability, enforcement, and governance around autonomous or semi-autonomous AI systems. The repository includes SDKs, a server, telemetry components, examples, and integrations for common agent frameworks. It is especially useful for teams building customer-facing, internal, or enterprise agents that need scalable runtime guardrails. -
20
Front-End Design Checklist
The Design Checklist for Creative Web Designers
...It promotes shared vocabulary and artifacts, helping teams avoid ambiguities around components, states, and edge cases. By using it early in the process, teams can prevent visual drift, inconsistent spacing, and incomplete specifications. The result is a repeatable, predictable path from mockup to production-quality UI. -
21
Get Shit Done
A light-weight and powerful meta-prompting, context engineering
Get Shit Done is a high-impact, open-source meta-prompting and spec-driven development system designed to streamline building software with AI assistants like Claude Code, OpenCode, and Gemini CLI. It solves “context rot” — the degradation of AI quality as a chat session grows — by structuring your idea into precise, context-engineered steps that are researched, scoped, planned, executed, and verified with clear commands and outputs instead of ad-hoc prompts. The project emphasizes... -
22
Percona Toolkit
A collection of advanced open source command-line tools
...Utilities such as pt-query-digest analyze slow logs and packet captures to surface hotspots and regressions, while pt-online-schema-change applies ALTERs with minimal blocking by copying and swapping tables. Consistency tools like pt-table-checksum and pt-table-sync detect and reconcile replication drift across replicas or shards. Other helpers find duplicate indexes, unused keys, skewed data distributions, and configuration issues that quietly erode performance. Each tool favors guardrails: dry runs, throttling, and resumable operations reduce the risk of harming production workloads. Operators and DBAs rely on the toolkit to bring observability and predictability to busy database fleets without hand-rolled scripts. -
23
Kubeshark
The API traffic viewer for Kubernetes providing deep visibility
...View all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Search all real-time and historical recorded API traffic and payloads using a comprehensive query language. Monitors all API traffic and payloads to find API drift and API anomalies and trace them down to source. Instant service dependency mapping through real-time API traffic analysis. Store all or a subset of traffic in PCAP files. View TCP stream request-response pairs and replay requests' payloads to a destination service. -
24
Interface Design
Design engineering for Claude Code
Interface Design is a Claude Code plugin and design-engineering toolkit that helps developers and designers retain consistent UI design decisions across sessions by codifying design principles and remembering them for future use. It’s built around the idea that when building UI (dashboards, apps, admin panels), design decisions like spacing, colors, depth, and component patterns can drift over time, so Interface-Design captures and stores those decisions in a system MD file that’s loaded automatically each session. The plugin prompts users to confirm a design direction early in the process and then applies those principles consistently — from button sizes to spacing scales and color tokens — so work stays aligned with the established system. ... -
25
EKS Best Practices
A best practices guide for day 2 operations
...Each section dives into operational details—for example, how to manage IAM roles for service accounts, secure the EKS endpoint, handle node auto-scaling, and design for multi-AZ resilience. Because running Kubernetes in production demands many “day-2” considerations (upgrades, drift, monitoring, incident response), the guide provides practical advice beyond simple cluster provisioning.
