Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!

Graphistry

Last update: Jan 2, 2023

Related tags

Deep Learning graph-app-kit

Overview

✔️ Linux ✔️ OS X ❌ Windows (#39)

Welcome to graph-app-kit

Turn your graph data into a secure and interactive visual graph app in 15 minutes!

Why

This open source effort puts together patterns the Graphistry team has reused across many graph projects as teams go from code-heavy Jupyter notebook experiments to deploying streamlined analyst tools. Whether building your first graph app, trying an idea, or wanting to check a reference, this project aims to simplify that process. It covers pieces like: Easy code editing and deployment, a project stucture ready for teams, built-in authentication, no need for custom JS/CSS at the start, batteries-included data + library dependencies, and fast loading & visualization of large graphs.

What

Minimal core: The barebones dashboard server. In provides a StreamLit docker-compose container with PyData ecosystem libraries and examples of visualizing data from various systems. Install it, plug in credentials to various web services like cloud databases and a free Graphistry Hub visualization account, and launch.
Full core: Initially for AWS, the full core bundles adds to the docker-compose system: Accounts, Jupyter notebooks for authoring, serves StreamLit dashboards with both public + private zones, and runs Graphistry/RAPIDS locally on the same server. Launch with on click via the Cloud Formation template.
Full core + DB: DB-specific variants are the same as minimal/full, and add simpler DB-specific quick launching/connecting.

Get started

Quick (Local code) - minimal core + third-party connectors

# Minimal core
git clone https://github.com/graphistry/graph-app-kit.git
cd graph-app-kit/src/docker
sudo docker-compose build

# Optional: Edit src/docker/.env (API accounts), docker-compose.yml: Auth, ports, ...

# Launch
sudo docker-compose up -d
sudo docker-compose logs -f -t --tail=100

=> http://localhost:8501/

To add views and relaunch:

# Add dashboards @ src/python/views/<your_custom_view>/__init__.py

sudo docker-compose up -d --force-recreate

Quick Launchers - minimal/full core

Quick launch options:

Full:

Public + protected Streamlit dashboards, Jupyter notebooks + editing, Graphistry, RAPIDS
Login to web UI as admin / i-instanceid -> file uploader, notebooks, ...
Dashboards: /public/dash and /private/dash
More info

Admin:

# launch logs
tail -f /var/log/cloud-init-output.log -n 1000

# app logs
sudo docker ps
sudo docker logs -f -t --tail=1 MY_CONTAINER

# restart a graphistry container
cd graphistry && sudo docker-compose restart MY_CONTAINER

# restart caddy (Caddy 1 override)
cd graphistry && sudo docker-compose -f docker-compose.gak.graphistry.yml up -d caddy

# run streamlit
cd graph-app-kit/public/graph-app-kit && docker-compose -p pub run -d --name streamlit-pub streamlit
cd graph-app-kit/private/graph-app-kit && docker-compose -p priv run -d --name streamlit-priv streamlit

Minimal: Open Streamlit, ssh to connect/add free Graphistry Hub username/pass:

Database-specific: Amazon Neptune, TigerGraph

Add views
Main configurations and extensions: Database connectors, authentication, notebook-based editing, and more

The pieces

Core

Prebuilt Python project structure ready for prototyping
Streamlit quick self-serve dashboarding
Graphistry point-and-click GPU-accelerated visual graph analytics
Data frames: Data wrangling via Pandas, Apache Arrow, RAPIDS (ex: cuDF), including handling formats such as CSV, XLS, JSON, Parquet, and more
Standard Docker and docker-compose cross-platform deployment

GPU acceleration (optional)

If GPUs are present, graph-app-kit leverages GPU cloud acceleration:

GPU Analytics: RAPIDS and CUDA already setup for use if run with an Nvidia docker runtime - cudf GPU dataframes, BlazingSQL GPU SQL, cuGraph GPU graph algorithms, cuML libraries, and more
GPU Visualization: Connect to an external Graphistry server or, faster, run on the same GPU server

Prebuilt integrations & recipes

graph-app-kit works well with the Python data ecosystem (pandas, cudf, PySpark, SQL, ...) and we're growing the set of builtins and recipes:

Graph databases
- AWS Neptune: quick launch and manual launch
- TinkerPop Gremlin: query demos
- TigerGraph: setup
- Collaborations welcome!
Jupyter notebooks: Use quick launchers or integrations guide for web-based live editing of dashboards by sharing volume mounts between Jupyter and Streamlit
Caddy: Reverse proxy for custom URLs, automatic LetsEncrypt TLS certificates, multiple sites on the same domain, pluggable authentication (see integrations guide)

Contribute

We welcome all sorts of help!

Deployment: Docker, cloud runners, ...
Dependencies: Common graph packages
Connectors: Examples for common databases and how to get a lot of data out
Demos!

See develop.md for more contributor information

Comments

Add TigerGraph capabilities to graph-app-kit
Features

Adding TigerGraph connection helper

Adding TigerGraph server credential fields

Adding TigerGraph tutorial Readme

Functionalities

Created a fraud detection Streamlit dashboard using the TigerGraph fraud detection starter kit

Created a view for circle detection

Looking at the transfer of money and seeing if the money flows back to the origin account

Created a view for fraud connectivity

Looking at how banks use graph analytics to fight fraud

Additional Resources

Creating a customized fraud dashboard using Dash and Bootstrap
opened by akash-kaul 4
[ENH] graph-app-kit Quick Launch Stack needs update to v2.36.6
Describe the bug The Quick Launch instructions bring up the v2.35.9. Needs update to v2.36.6

Expected behavior Clicking on "Launch Stack" launching the latest v2.36.6

Observed behavior Clicking on "Launch Stack" launches the v2.35.9

To Reproduce Steps to reproduce the behavior, ideally entirely copy-pastable for running on an out-of-the-box install

Go to Quick Launch

Click on 'Launch Stack'

Wait for complete initialization

See the version

enhancement infra
opened by ffaghri1 3
[BUG] AWS neptune templates for p3.2, p3.16 fail to start

Describe the bug

Cloud formation for neptune fails on a p3.2 and p3.16 yet succeeds on a g4dn

Reported by a Neptune user

To Reproduce

Run through Neptune tutorial and use a p3.16

Expected behavior It launches

Actual behavior Formation template stalls out and auto-deletes

Working on getting logs. After 10min, GPU services (forge-etl-python + streamgl) failed to start. V100 issue?

Screenshots

Browser environment (please complete the following information): all

PyGraphistry environment All

Additional context Current graph-app-kit
bug graphistry neptune aws

opened by lmeyerov 2
Request

Hey Folks, I really much like what you do! Especially since you try to reduce complexity for a normally hard problem. Yet I'd super appreciate if you could reduce this a little further. Do you think that is possible? All that setup and stuff looks rather difficult to me. Would be great! Thank you.

opened by ChrisDelClea 2
Bump streamlit from 1.9.0 to 1.11.1 in /src/python
Bumps streamlit from 1.9.0 to 1.11.1.

Commits

b6429b6 Fix linting

f4b2051 Up version to 1.11.1

80d9979 Ignore component requests outside of the component root

4a04eef Replace legacy app URLs in docs with custom subdomains (#4959)

27c29ac Up version to 1.11.0

03babac Test that GitRepo can handle import failures (#4942)

4c39606 Fix table overflow styling (#4934)

26de600 Fix issue with wrongly applied colors with Pandas styler (#4940)

ad4547f Fix widgets overwrites from short to long-hand props (#4935)

3809637 Add gap param to st.columns (#4887)

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dependencies
opened by dependabot[bot] 1
build(deps): bump protobuf from 3.13.0 to 3.15.0 in /src/python
Bumps protobuf from 3.13.0 to 3.15.0.

Release notes

Sourced from protobuf's releases.

Protocol Buffers v3.15.0

Protocol Compiler

Optional fields for proto3 are enabled by default, and no longer require the --experimental_allow_proto3_optional flag.

C++

MessageDifferencer: fixed bug when using custom ignore with multiple unknown fields

Use init_seg in MSVC to push initialization to an earlier phase.

Runtime no longer triggers -Wsign-compare warnings.

Fixed -Wtautological-constant-out-of-range-compare warning.

DynamicCastToGenerated works for nullptr input for even if RTTI is disabled

Arena is refactored and optimized.

Clarified/specified that the exact value of Arena::SpaceAllocated() is an implementation detail users must not rely on. It should not be used in unit tests.

Change the signature of Any::PackFrom() to return false on error.

Add fast reflection getter API for strings.

Constant initialize the global message instances

Avoid potential for missed wakeup in UnknownFieldSet

Now Proto3 Oneof fields have "has" methods for checking their presence in C++.

Bugfix for NVCC

Return early in _InternalSerialize for empty maps.

Adding functionality for outputting map key values in proto path logging output (does not affect comparison logic) and stop printing 'value' in the path. The modified print functionality is in the MessageDifferencer::StreamReporter.

Fixed protocolbuffers/protobuf#8129

Ensure that null char symbol, package and file names do not result in a crash.

Constant initialize the global message instances

Pretty print 'max' instead of numeric values in reserved ranges.

Removed remaining instances of std::is_pod, which is deprecated in C++20.

Changes to reduce code size for unknown field handling by making uncommon cases out of line.

Fix std::is_pod deprecated in C++20 (#7180)

Fix some -Wunused-parameter warnings (#8053)

Fix detecting file as directory on zOS issue #8051 (#8052)

Don't include sys/param.h for _BYTE_ORDER (#8106)

remove CMAKE_THREAD_LIBS_INIT from pkgconfig CFLAGS (#8154)

Fix TextFormatMapTest.DynamicMessage issue#5136 (#8159)

Fix for compiler warning issue#8145 (#8160)

fix: support deprecated enums for GCC < 6 (#8164)

Fix some warning when compiling with Visual Studio 2019 on x64 target (#8125)

Python

Provided an override for the reverse() method that will reverse the internal collection directly instead of using the other methods of the BaseContainer.

MessageFactory.CreateProtoype can be overridden to customize class creation.

... (truncated)

Commits

ae50d9b Update protobuf version

8260126 Update protobuf version

c741c46 Resovled issue in the .pb.cc files

eef2764 Resolved an issue where NO_DESTROY and CONSTINIT were in incorrect order

0040102 Updated collect_all_artifacts.sh for Ubuntu Xenial

26cb6a7 Delete root-owned files in Kokoro builds

1e924ef Update port_def.inc

9a80cf1 Update coded_stream.h

a97c4f4 Merge pull request #8276 from haberman/php-warning

44cd75d Merge pull request #8282 from haberman/changelog

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dependencies
opened by dependabot[bot] 1
docker-compose build gives error in windows 10 OS.
Describe the bug I execute docker-compose build. Below are the console logs. It throws an error.

D:\yusuf\graph-app-kit\src\docker>docker-compose build WARNING: The BASE_PATH variable is not set. Defaulting to a blank string. autoheal uses an image, skipping Building streamlit failed to get console mode for stdout: The handle is invalid. [+] Building 4.7s (8/15) [+] Building 4.8s (9/15) => [internal] load build definition from Dockerfile 0.1s => => transferring dockerfile: 32B 0.0s => [internal] load .dockerignore 0.0s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/graphistry/graphistry-forge-ba 2.0s => importing cache manifest from graphistry/graph-app-kit-st:latest 1.8s => [ 1/10] FROM docker.io/graphistry/graphistry-forge-base:v2.36.6-11.0@ 0.0s => [internal] load build context 0.0s: exit code: 126 => => transferring context: 229B 0.0s => CACHED [ 2/10] WORKDIR /app 0.0s => CACHED [ 3/10] COPY python/conda-app.sh ./ 0.0s => ERROR [ 4/10] RUN source activate rapids && ./conda-app.sh 0.8s

[ 4/10] RUN source activate rapids && ./conda-app.sh: #9 0.756 /bin/bash: ./conda-app.sh: /bin/bash^M: bad interpreter: No such file or directory

ERROR: Service 'streamlit' failed to build

Expected behavior Work

Observed behavior Error To Reproduce Clone the repo and then run docker-compose build

Environment

Windows 10 version 2004 (OS Build 19041.867)

StreamLit Version 0.77.0

How you installed: git clone

Additional context
bug duplicate
opened by canbax 1
[FEA] Simplify adding dashboards
Is your feature request related to a problem? Please describe.

Right now, adding a new dashboard means adding code via the file system or Jupyter, and then relaunching streamlit. That's hard and non-obvious. It should be fast and easy!

Describe the solution you'd like

Clear docs

No need to manually restart streamlit via a CLI command

Ex: Make the dashboard component updateable, and maybe even switch to reading a tracked file (def list_dashboards(): ...), so streamlit gracefully handles changes

Describe alternatives you've considered

UI widget to add dashboards: Nice... but maybe v2, over something client-agnostic like ^^^

Ability to in-tool rebuild & restart container: many questions

enhancement streamlit
opened by lmeyerov 1
Dev/tiger
Preparing merge of https://github.com/graphistry/graph-app-kit/pull/30

Fixes:

[x] flake8 lint warnings

[x] missing plotly dependency

[x] badges (unrelated)

[x] propagate connection error message to user

Adds:

[x] Docs: Setup flow for tg -> g-a-k

[ ] CI
opened by lmeyerov 1

[ENH] conda

Support conda envs

-- As an initial version, allow full user formulas, and have sandwiched: base conda+pip -> user conda -> user pip

-- Later, figure out staged builds for base conda -> user conda -> base pip -> user pip

-- Bonus: mamba instead of conda

Ex:

Dockerfile:

COPY python/conda-app.sh ./
...
RUN source activate rapids \
    && ./conda-app.sh \
    && pip install streamlit==0.68.0 \
    && pip install -r requirements-system.txt

python/conda-app.sh:

#!/bin/bash
set -ex

echo "=========================="
echo "="
echo "=  Conda app dependencies"
echo "="
echo "=========================="
echo ""

conda install -c conda-forge hdbscan=0.8.26

echo "**** Successfull install conda app deps ***"

opened by lmeyerov 1

[ENH] parallel instance support
A typical case is public vs private dashboards:

unbake streamlit container name to allow multi instance

move st port to ENV for easier .env

Document

recipe for COMPOSE_PROJECT_NAME

ports

launch

multiple vol mounts

documentation enhancement
opened by lmeyerov 1
[FEA] Pass viz params

Is your feature request related to a problem? Please describe.

Graphistry url viz params are handy pass in via url, especially after the fact. Supporting that in the st component would be great!

Describe the solution you'd like

Default-on implicit url param passing. /public/views?pointSize=1.0 => graph.html?pointSize=1.0

Default-on seems unsafe though.. so maybe opt-om" st_g.plot(url, propagate_url_params=True)

Additional context

Happened during a prototyping session..
enhancement p4

opened by lmeyerov 0
Bump protobuf from 3.18 to 3.18.3 in /src/python
Bumps protobuf from 3.18 to 3.18.3.

Release notes

Sourced from protobuf's releases.

Protocol Buffers v3.18.3

C++

Reduce memory consumption of MessageSet parsing

This release addresses a Security Advisory for C++ and Python users

Protocol Buffers v3.18.2

Java

Improve performance characteristics of UnknownFieldSet parsing (#9371)

Protocol Buffers v3.18.1

Python

Update setup.py to reflect that we now require at least Python 3.5 (#8989)

Performance fix for DynamicMessage: force GetRaw() to be inlined (#9023)

Ruby

Update ruby_generator.cc to allow proto2 imports in proto3 (#9003)

Commits

a902b39 No-op whitespace change

ae62acd Updating version.json and repo version numbers to: 18.3

f43ac49 Merge pull request #10542 from deannagarcia/3.18.x

9efdf55 Add missing includes

d1635e1 Apply patch

5b37c91 Update version.json with "lts": true (#10534)

c39d622 Merge pull request #10529 from protocolbuffers/deannagarcia-patch-5

f77d3b6 Update version.json

8178b06 Merge pull request #10503 from deannagarcia/3.18.x

24ca839 Add version file

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dependencies
opened by dependabot[bot] 0
[FEA] Deprecate app switcher to new form
Streamlit now supports multipage apps, so we should switch to that to avoid confusion: https://blog.streamlit.io/introducing-multipage-apps/

This will take a bit of research first:

[ ] deprecating handle legacy use: let's not break things, such as by an up-converter with a warning?

[ ] transforming legacy demos

[ ] new docs

[ ] handling scale: the new UI seems to do a list instead of a dropdown, which seems like a problem for use cases like ours where we have many, so this may also be difficult

enhancement good first issue
opened by lmeyerov 0
[BUG] Caddy healthcheck route missing
Describe the bug

heathchecks against /caddy/health/ fail

Expected behavior

200

because

status 200 /caddy/health/

should be in the Caddyfile

Observed behavior not 200... because no such entry

To Reproduce Steps to reproduce the behavior, ideally entirely copy-pastable for running on an out-of-the-box install

Go to '...'

Click on '....'

Scroll down to '....'

See error

Screenshots If applicable, add screenshots to help explain your problem.

Environment

OS [e.g., Ubuntu 18.04 LTS]

StreamLit Version [See src/python/requirements-system.txt, or date]

How you installed: [manual git, full aws quicklaunch, neptune minimal, ...],

PyGraphistry 0.19.3

Additional context Add any other context about the problem here.
bug
opened by lmeyerov 0
[BUG] quicklaunch default stack names syntactically invalid

Describe the bug Quicklaunch link names are like graph_app_kit, which cloud formation rejects due to underscores . See on Neptune docs, maybe others.

Expected behavior Should be syntactically valid, like graph-app-kit
bug

opened by lmeyerov 0

Owner

Graphistry

Visualize magnitudes more data in the browser.

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Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!

Related tags

Overview

Welcome to graph-app-kit

Why

What

Get started

Quick (Local code) - minimal core + third-party connectors

Quick Launchers - minimal/full core

The pieces

Core

GPU acceleration (optional)

Prebuilt integrations & recipes

Contribute

Comments

Features

Functionalities

Additional Resources

Protocol Buffers v3.15.0

Protocol Compiler

C++

Python

Protocol Buffers v3.18.3

C++

Protocol Buffers v3.18.2

Java

Protocol Buffers v3.18.1

Python

Ruby

Owner

Graphistry

Python lib to talk to pylontech lithium batteries (US2000, US3000, ...) using RS485

✔️ Visual, reactive testing library for Julia. Time machine included.

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Competitive Programming Club, Clinify's Official repository for CP problems hosting by club members.

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