pyCosmicWrap
Cosmos wrapper
A Python wrapper around the Cosmos API/RPC for interacting with various blockchain services in the Ecosystem
A python3 wrapper around Cosmos API/RPC brought to you by ChihuahuaChain
9 stars
1 watching
9 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| chihuahuachain/upgradeswatchdog | Automated tracking and alert system for Cosmos blockchain upgrades | 1 |
 pundiai/fx-py-sdk | A tool for sending Cosmos transactions via a Python SDK | 7 |
 jcopenha/pyflix | A Python wrapper around Netflix's API to simplify interactions with the service | 5 |
 reecepbcups/cosmos-cache | A caching layer for Cosmos RPC/API calls with configurable cache times and support for various endpoints. | 26 |
 fetchai/cosmpy | A Python library for interacting with Cosmos-based blockchain networks | 131 |
 cosmos-client/cosmos-client-ts | A REST API client for interacting with the Cosmos SDK blockchain | 36 |
 ctrl-felix/cosmospy-protobuf | A Python library providing a unified interface to Cosmos Protobuf APIs for querying blockchain data. | 19 |
 juliapy/pycall.jl | A package that enables direct interaction between Julia and Python | 1,468 |
 pfalcon/pycopy | A minimalist and memory-efficient Python dialect designed to be portable across various platforms. | 805 |
 pycontribs/pyrax | Provides a Python SDK for interacting with the Rackspace Cloud's OpenStack-based public cloud infrastructure | 237 |
 cosmos/cosmos | An initiative exploring proof-of-stake blockchain consensus algorithms and their applications. | 1,271 |
 brbester/pyciscospark | Provides an interface to the Cisco Spark REST API | 30 |
| pfalcon/pycopy-lib | Develops a minimal and lightweight Python standard library compatible with other variants and implementations of Python. | 248 |
 aaronpowell/fsharp.cosmosdb | A wrapper around Cosmos DB's .NET SDK to make it easier to work with in F#. | 79 |
 tubular/sparkly | A set of Python libraries and tools to simplify interactions with various data sources using Apache Spark. | 60 |