Search Results for "aws-cpp-sdk-s3"
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Showing 38 open source projects for "aws-cpp-sdk-s3"
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STU
TUI application for AWS S3 written in Rust using ratatui
TUI application for AWS S3 written in Rust using ratatui. -
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TAWS
A terminal-based AWS resource viewer and manager
TAWS is a terminal-based user interface (TUI) tool designed to help developers view and manage Amazon Web Services (AWS) resources directly from the command line in a curses-style, interactive environment. It provides a unified interface where users can explore their AWS resources such as EC2 instances, S3 buckets, IAM users, and more, all without switching to a web console, which can speed up workflows for frequent cloud administrators and developers alike. -
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remotefs
A client library to work with all file transfer protocols
...This is achieved through a trait called RemoteFs which exposes methods to operate on the remote file system. Currently, the library exposes a client for Sftp, Scp, Ftp and Aws-s3 as external libraries. You might be wondering, "why remotefs?" The first and foremost reason is to provide a generic interface over multiple protocols. For example, in termscp it allows the support of multiple protocols without any protocol-specific code. The second reason is that often, users just want a simple way to operate on a remote file system, however, they don't have the time to spend researching the ins and outs of each protocol. -
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pg_analytics
DuckDB-powered analytics for Postgres
pg_analytics (formerly named pg_lakehouse) puts DuckDB inside Postgres. With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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walgit
A git server that is one binary in front of an object store
walgit is a lightweight Git server designed around object storage rather than traditional server-local repository state. A single binary can host repositories whose durable data resides in S3-compatible storage or Google Cloud Storage. It supports standard Git fetch and push operations over Smart HTTP, including protocol versions 0 and 2. Bundle-based cloning and Git LFS are included for handling repositories and large files efficiently. Users also get a repository browsing interface, JSON API, SDK, webhooks, and configurable push policies. ... -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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Bitwarden Secrets Manager SDK
Bitwarden Secrets Manager SDK
This repository houses the Bitwarden Secret Manager SDK. The SDK is written in Rust and provides a Rust API, CLI, and various language bindings. -
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celld
Self-hosted, distributed Durable Objects
...It supports Workers, Durable Objects, KV, Queues, D1, R2, Workflows, Cron Triggers, static assets, and experimental containers. Each stateful object operates as an isolated cell backed by its own SQLite database. Multiple celld nodes can form a fleet that shares durable state through S3-compatible storage, Google Cloud Storage, or Azure Blob Storage. The design avoids a separate consensus service or serving control plane by coordinating ownership through object storage. V8 executes Wrangler-compatible bundles, while replicated SQLite logs provide durability and failover between nodes. Local development can run without a cloud bucket, and production deployments support Docker and standard load-balanced infrastructure. -
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fnox
Encrypted/remote secret manager
fnox is a Rust-based secret manager designed for teams and developers who need flexible local, encrypted, and cloud-backed secret workflows. It can store secrets encrypted in Git through providers such as age, AWS KMS, Azure KMS, and GCP KMS, or reference secrets stored remotely in services like AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, 1Password, Bitwarden, Infisical, and HashiCorp Vault. Projects define their secret behavior in a fnox.toml file, which can contain encrypted values, provider references, defaults, and environment-specific profiles. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Firecracker
Secure and fast microVMs for serverless computing
Firecracker is an open-source virtualization technology developed by AWS for deploying secure micro-VMs (microVMs) that offer strong isolation with minimal overhead. Designed for serverless workloads (e.g., AWS Lambda, Fargate), it combines VM-level security with container-like performance and startup speed. -
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OpenObserve
Elasticsearch/Splunk/Datadog alternative for (logs, metrics, traces)
...Below are the results when we pushed logs from our production Kubernetes cluster to Elasticsearch and OpenObserve using fluent bit. OpenObserve stored data in Amazon s3 and Elasticsearch stored data on Amazon EBS volumes. -
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RMUX
Universal Rust multiplexer with a typed SDK
RMUX is a Rust-based terminal multiplexer designed for humans, agents, and headless command-line workflows. It provides tmux-style detachable terminal sessions while adding a typed SDK and structured snapshots for programmatic control. Users can run terminal or TUI applications, detach from them, reconnect later, and inspect their state from code. The project is built to work natively across Linux, macOS, and Windows, including support for Windows Named Pipes. rmux is especially useful for AI agents that need to drive command-line tools reliably without losing session context. ... -
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mise
Dev tools, env vars, task runner
Mise (formerly RTX) is a cross-language CLI tool and task runner that manages developer tools, environment variables, and project tasks in a unified configuration (mise.toml). It handles tool installation (e.g., Node, Python, Terraform), env var profiles, and repeatable command scripting. -
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Vector
A high-performance observability data pipeline
Vector is a Rust‑based, high‑performance observability data pipeline tool (agent + aggregator) designed to collect, transform, and route logs and metrics at scale. Created by Datadog, it aims to be the only tool needed from ingestion to vendor output, providing cost-efficient, safe, and flexible telemetry processing. -
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Fuels-rs
Fuel Network Rust SDK
fuels-rs is a Rust-native Software Development Kit (SDK) for the Fuel blockchain. It facilitates compilation, deployment, transaction crafting, contract interaction, and testing of Sway smart contracts, as well as launching and controlling local Fuel nodes for development or CI workflows. -
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Microsoft eXecution Container (MXC)
Policy-driven, layered isolation and containment
...It is designed for model outputs, plugins, tools, and other code that needs controlled execution boundaries. The project provides a unified JSON configuration schema and a TypeScript SDK while supporting multiple containment backends. Its backends include process containers, Windows Sandbox, LXC, Bubblewrap, Seatbelt, microVM-based options, Hyperlight, IsolationSession, and WSL-related containment. MXC focuses on policy-driven isolation for filesystems, networking, process execution, and runtime behavior. It is especially useful for AI tool platforms, plugin ecosystems, agent runtimes, and developer products that need safer execution of generated or third-party code. -
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Agent Client Protocol (ACP)
A protocol for connecting any editor to any agent
...Its goal is to let any compatible editor work with any compatible coding agent without every integration being custom-built. The repository includes protocol materials and SDK-related ecosystem work for clients and agents. It is useful for editor makers, agent builders, and tool developers who want cleaner interoperability in AI-assisted software development. -
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parseable
Parseable is a log analytics system written in Rust
Parseable is a log analytics platform, built for the modern, cloud native era. Parseable uses a index-free mechanism to organize and query data allowing low latency, and high throughput ingestion and query. -
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Quickwit
Sub-second search & analytics engine on cloud storage
Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped... -
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node
Node software for the AMA Protocol
...Nodes expose RPC services, participate in the network, and can be configured for computor or validator operation. The repository includes tooling for running a local testnet, transferring AMA, and deploying WebAssembly smart contracts. Contract examples and SDK resources cover both AssemblyScript and Rust development. The node can be built with Docker or Podman and configured as an auto-updating systemd service on Linux. -
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CocoIndex
ETL framework to index data for AI, such as RAG
CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search... -
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SlateDB
A cloud native embedded storage engine built on object storage
Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage to provide bottomless storage capacity, high durability, and easy replication. SlateDB is an embedded storage engine built as a log-structured merge-tree. Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage (S3, GCS, ABS, MinIO, Tigris, and so on). Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy replication. The trade-off is that object storage has a higher latency and higher API cost than local disk. To mitigate high write API costs (PUTs), SlateDB batches writes. Rather than writing every put() call to object storage, MemTables are flushed periodically to object storage as a string-sorted table (SST). ... -
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Chidori
A reactive runtime for building durable AI agents
...When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already familiar with. -
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PostgresML
The GPU-powered AI application database
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. ... -
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Korvus
Korvus is a search SDK that unifies the entire RAG pipeline
Korvus is an open-source retrieval-augmented generation (RAG) pipeline designed to run entirely inside PostgreSQL, allowing developers to build AI search and knowledge systems directly within a database environment. The project consolidates the typical steps of a RAG pipeline—including embedding generation, document retrieval, reranking, and text generation—into a single query executed within the Postgres ecosystem. By leveraging PostgresML and vector extensions such as pgvector, Korvus...
