factset/qmock-py

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Created almost 5 years ago
Updated almost 5 years ago

factset/qmock-py

factset

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A framework for Queue-based validation of mock calls.

quart-openapi

Module for Quart to add Flask-RESTPlus like functionality

enterprise-sdk

The FactSet Enterprise SDK facilitates access to APIs

go-drill

Native Pure Go Driver for Apache Drill and Dremio using the protobuf interface rather than the REST Api for better performance

labeledpipe

Lazypipe with labels.

analyticsapi-engines-python-sdk

enterprise-sdk-utils-python

Utilities that support FactSet's SDK in Python

stachschema

RClientCxx

C++ client for communication with RServe

analyticsapi-engines-java-sdk

openfin-visualizer

Debugging and monitoring tool for the OpenFin bus

oauth2-guidelines

FactSet's OAuth 2.0 guidelines and test scripts.

analyticsapi-engines-r-sdk

analyticsapi-engines-sdk-generator

analyticsapi-engines-dotnet-sdk

data-monitor-javascript-sdk

open-source-governance

To capture our policies for maintaining Open Source projects under the FactSet organization on GitHub.

csr-collaboration-app

App for CSR collaboration between learners and volunteers

kong-env

A system for installing Kong Enterprise development versions locally without root access

stachschema-sdks

ofm-python-sdk

Open:FactSet Marketplace API Python SDK Client

enterprise-sdk-utils-dotnet

Utilities that support FactSet's SDK in .NET

enterprise-sdk-samples

Sample code for using the FactSet SDK

borgup

Borgup – A configuration-based wrapper for Borg Backup

stach-extensions

enterprise-sdk-utils-java

Utilities that support FactSet's SDK in Java

enterprise-sdk-utils-typescript

Utilities that support FactSet's SDK in TypeScript

enterprise-sdk-eventdriven-factsettrading-java

deprecator

Deprecating versions of a publish software package.

factset-api-salesforce-recipes

Salesforce recipes with FactSet API integration used for Open Source.

fds-datax

fds.datax offers instant access to define and retrieve a time-series universe of securities that is cached into a centralized data store. Having access to a cached data store shifts the research period focused on building a universe to immediately analyzing FactSet’s core & 3rd Party data using a consistent process.