With over 53 social login options, you can fast-track the signup and login experience for users.
From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
For IT service providers and MSPs that need a data platform to manage their processes
BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
10x faster string search, split, sort, and shuffle for long strings
StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File...
SleekDB is a simple flat file NoSQL-like database implemented in PHP without any third-party dependencies that store data in plain JSON files. It is not designed to handle heavy-load IO operations, it is designed to have a simple solution where all we need a database for managing a few gigabytes of data. You can think of it as a database for low to medium operation loads.
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven.
GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL».
GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with Java...
Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications.
Key Features:
* embeddable, open source and free
* fast and scalable
* uses target database features to do transformations and loads
* manual and automatic data mapping
* data streaming
* bulk data loads
* data quality features using SQL, JavaScript? and regex
* data transformations
Requirements
* Java 1.6 and...
From desk booking and visitor management, to space planning and office utilization data, Eptura Workplace helps your entire organization work smarter.
With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
A set of Unix command line tools for quick and convenient batch processing of tabular text files (a.k.a., tab-delimited, csv, or flat file format) with a header line. Provides delimiter and compression detection, column reference by name.
* tblmap: per-line ("map") computation: derive columns through an expression, delete, reorder, filter rows.
* tblred: compute ("reduce") aggregations (e.g., sum, average) over groups defined by key columns.
* tbldesc: Summarize columns in file (e.g...