Results for largs

A high-performance viewer for large text files

A decentralized version control system for AI models and large files

Large object support for rust-postgres

A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.

Core library for handling large text files search and replace efficiently

command line

Search, hash, sort, fingerprint, and fuzzy-match strings faster via SWAR, SIMD, and GPGPU

Scripty - your Rust command toolkit for easy command execution and file operations

A comprehensive Rust client library for the Veracode platform (Applications, Identity, Pipeline Scan, Sandbox)

A streaming JSON‐array parser that yields one object at a time

This crate provides a complete implementation of the SQL-on-FHIR specification for Rust, enabling the transformation of FHIR resources into tabular data using declarative ViewDefinitions. It supports all major FHIR versions (R4, R4B, R5, R6) through a version-agnostic abstraction layer.

Package for Large Prime Number Analysis

Boot large ruby/rails apps faster

Lazily loads large columns on demand. By default, does this for all TEXT (:text) and BLOB (:binary) columns, but a list of specific columns to load on demand can be given. This is useful to reduce the memory taken by Rails when loading a number of records that have large columns if those particular columns are actually not required most of the time. In this situation it can also greatly reduce the database query time because loading large BLOB/TEXT columns generally means seeking to other database pages since they are not stored wholly in the record's page itself. Although this plugin is mainly used for BLOB and TEXT columns, it will actually work on all types - and is just as useful for large string fields etc.

Large-scale sparse matrix factorization for Ruby

A Ruby gem that streams and parses large Excel(xlsx and xlsm) files fast and efficiently.

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch and delivery of a large number of distributed tasks. You can asynchronously perform work outside of a user request. Your tasks can be executed on App Engine or any arbitrary HTTP endpoint. Note that google-cloud-tasks-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-tasks instead. See the readme for more details.

Text Splitter for Large Language Model Datasets.

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch and delivery of a large number of distributed tasks. You can asynchronously perform work outside of a user request. Your tasks can be executed on App Engine or any arbitrary HTTP endpoint. Note that google-cloud-tasks-v2beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-tasks instead. See the readme for more details.

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch and delivery of a large number of distributed tasks. You can asynchronously perform work outside of a user request. Your tasks can be executed on App Engine or any arbitrary HTTP endpoint. Note that google-cloud-tasks-v2beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-tasks instead. See the readme for more details.

Quickly get a count estimation for large tables.

Large text fields are kept in a central table, and polymorphically associated with your models. Access and assignment should behave as if it was a column on the same table.

Pipelines for streaming large collections with composition inspired by Elixir pipes.

Helps finding partials in large html pages