Jupyter Notebook Database

Open-source Jupyter Notebook projects categorized as Database

Top 12 Jupyter Notebook Database Projects

  • FinanceDatabase

    This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

    Project mention: FinanceDatabase: NEW Derivatives and Hedging - star count:2407.0 | /r/algoprojects | 2023-11-14
  • Workshops

    Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software (by PoCInnovation)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • TabularSemanticParsing

    Translating natural language questions to a structured query language

  • interactive_tutorials

    Repository for all ArangoDB interactive tutorial notebooks.

    Project mention: Google open-sources their graph mining library | news.ycombinator.com | 2023-10-03

    For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2].

    Integrations include:

    * NetworkX -- https://networkx.org/

    * DeepGraphLibrary -- https://www.dgl.ai/

    * cuGraph (Rapids.ai Graph) -- https://docs.rapids.ai/api/cugraph/stable/

    * PyG (PyTorch Geometric) -- https://pytorch-geometric.readthedocs.io/en/latest/

    --

    1: https://docs.arangodb.com/3.11/data-science/adapters/

    2: https://github.com/arangodb/interactive_tutorials#machine-le...

  • rmi

    A learned index structure

  • base

    Adansons Base is a data programming tool for error-analysis of training results. It organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps to find low-quality data by using the training results and improves AI performance. (by adansons)

  • CNN-Filter-DB

    A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)

    Project mention: CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters (CVPR 2022 Oral) | /r/LearningMachines | 2023-07-08

    Repo & dataset: https://github.com/paulgavrikov/CNN-Filter-DB

  • WorkOS

    The modern API for authentication & user identity. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • data-science-notes

    Notes of IBM Data Science Professional Certificate Courses on Coursera

  • vulcan-sql-examples

    Curated VulcanSQL show cases

  • tableQA-Chinese

    Unsupervised tableQA and databaseQA on chinese finance question and tabular data

    Project mention: tableQA-Chinese: NEW Unsupervised - star count:10.0 | /r/algoprojects | 2023-08-06
  • SciTS

    A tool to benchmark Time-series on different databases

    Project mention: SciTS: A tool to benchmark Time-series on different databases | news.ycombinator.com | 2023-07-10
  • workshop-introduction-to-machine-learning

    Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-11-14.

Jupyter Notebook Database related posts

Index

What are some of the best open-source Database projects in Jupyter Notebook? This list will help you:

Project Stars
1 FinanceDatabase 2,658
2 Workshops 356
3 TabularSemanticParsing 209
4 interactive_tutorials 82
5 rmi 51
6 base 28
7 CNN-Filter-DB 28
8 data-science-notes 28
9 vulcan-sql-examples 17
10 tableQA-Chinese 12
11 SciTS 11
12 workshop-introduction-to-machine-learning 7
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