sparkmagic
soci
sparkmagic | soci | |
---|---|---|
4 | 3 | |
1,286 | 1,342 | |
0.4% | 0.4% | |
7.6 | 8.7 | |
3 days ago | 3 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | Boost Software License 1.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sparkmagic
-
Doing ML works in AWS. Need help installing cartopy
Please file an issue at https://github.com/jupyter-incubator/sparkmagic
-
Ask HN: Who's an open source maintainer/project that needs sponsorship or help?
I maintain several open source projects, most notably:
Sparkmagic (https://github.com/jupyter-incubator/sparkmagic)
Sparkmagic provides jupyter magics and kernels for working with remote Spark clusters. It's used by thousands of developers and companies like Pinterest, Amazon, more!
I've been maintaining for the past few years and would love help!
KSOPS (https://github.com/viaduct-ai/kustomize-sops)
KSOPS, or kustomize-SOPS, is a kustomize KRM exec plugin for SOPS encrypted resources. KSOPS can be used to decrypt any Kubernetes resource, but is most commonly used to decrypt encrypted Kubernetes Secrets and ConfigMaps. As a kustomize plugin, KSOPS allows you to manage, build, and apply encrypted manifests the same way you manage the rest of your Kubernetes manifests.
KSOPS is the most popular kustomize plugin and I'd love help maintaining and improving it from out GitOps fanatics.
-
Spark is lit once again
Things get a bit more complicated on interactive sessions. We've created Sparkmagic compatible REST API so that Sparkmagic kernel could communicate with Lighter the same way as it does with Apache Livy. When a user creates an interactive session Lighter server submits a custom PySpark application which contains an infinite loop which constantly checks for new commands to be executed. Each Sparkmagic command is saved on Java collection, retrieved by the PySpark application through Py4J Gateway and executed.
-
An SQL Solution for Jupyter
Jupyter would be even better if it supported the seamless combination of Python and SQL code cells.
My notebook code typically involves a data prep stage with querying a SQL database, then downloading into Python for more complex analysis, ML modelling, integration with external data sources, etc. So the notebook has a Python kernel with SQL usually as embedded """-quoted strings.
Does anyone have a solution to treating selected code cells as SQL - with SQL highlighting and tooltips - exposed as string variables to the Python code?
Sparkmagic [1] does part of this for Python/SQL/Spark interoperability, but as far as I recall, doesn't support SQL syntax highlighting.
[1] https://github.com/jupyter-incubator/sparkmagic
soci
-
Propagating an exception from another thread and up to the main program. No destructors allowed yet?
FWIW, I found this: https://github.com/SOCI/soci/issues/256
-
c++ project
As regards to database access – if you don't have a framework that provides a database access layer, you'll need to select a database library. All databases have client libraries with C language bindings which can also be used from C++; many have native C++ bindings as well. Another choice would be to select a C++ library that supports multiple databases, such as SOCI.
-
An SQL Solution for Jupyter
but we offer full support to SOCI meaning if these folks: https://github.com/SOCI/soci support it and the dependencies exist and work for 32bit, than yes.
What are some alternatives?
lighter - REST API for Apache Spark on K8S or YARN
sqlite_modern_cpp - The C++14 wrapper around sqlite library
Jupyter Scala - A Scala kernel for Jupyter
SQLite - Unofficial git mirror of SQLite sources (see link for build instructions)
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
TileDB - The Universal Storage Engine
nbmake - 📝 Pytest plugin for testing notebooks
turbodbc - Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
nbgrader - A system for assigning and grading notebooks
tntdb
xeus-sql - Jupyter kernel for SQL databases
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.