thanos / thanos-links

thanos-links

My list of of links to frameworks, libraries, software and resources.

Inspired by awesome-php.

Elixir

• General
  • awesome-elixir
• Pattern Matching
  • Joy of Elixir - 6 pattern matching
• GenStage
  • GenStage - Sending Millions of HTTP Requests Using GenStage
  • GenServers + Dynamic Supervisors - How We Used Elixir's GenServers + Dynamic Supervisors to Build Concurrent, Fault Tolerant Workflows
• Process registry
  • Brian Storti:process registry in elixir - Process registry in Elixir: a practical example
  • Jkmrto - Dynamic Supervisor With Registry
  • unnawut - GenServer, Registry, DynamicSupervisor. Combined.
• Broadway
  • off_broadway_redis - A Broadway producer for Redis lists
  • dashbitco/broadway_sqs - A Broadway producer for Amazon SQS

Phoenix

• Channels
  • mobileoverlord/phoenix_client - Elixir Phoenix Client for Chanels
  • Graeme Hill's Dev Blog - Websocket Clients and Phoenix Channels
  • Phoenix in Action - Chapter 12. Using Phoenix channels for real-time communication
  • Azolo/websockex - An Elixir Websocket Client
• ECTO
  • Wendy Smoak - Adding Fields to an Ecto Model in Phoenix
  • ecto
• Admin
  • [Kaffy] - [https://github.com/aesmail/kaffy] Powerfully simple admin package for phoenix applications

DATA

• viethip - Rocksdb Architecture – An open source Key-Value DB builds on LevelDB
• OLAP
  • kylin - distributed Analytical Data Warehouse for Big Data
  • Akutan - Akutan: A Distributed Knowledge Graph Store
  • KNOWLEDGE GRAPHS- Relation Embedding with Dihedral Group in Knowledge Graph
  • hoplys - Hoply is generic n-tuple store. It is a database storing tuples with n-items in a set. Each tuple is unique. With Hoply you can use a triplestore or quadstore similar Blazegraph, Jena, Virtuoso et al. in the comfort of Python programming language.
  • ecto

Databases

• yugabytedb - Achieving 10x Better Distributed SQL Performance in YugabyteDB 2.1
• Axibase - a interesting timeseries db
  • axibase - architecture
  • axibase - Axibase Charts is a graphics library for visualizing time series.
  • axibase - Axibase Chart dashboards

C#

• using statement - using statement (C# Reference)

Axibase Charts

C

• threads - learn C multi threadinging in minutes

Python

• lettuce - Lettuce is a Behavior-Driven Development tool written by Gabriel Falcão G. de Moura

http://optiq.incubator.apache.org/ https://viethip.com/2011/07/09/real-time-analytics-for-big-data-facebooks-new-realtime-analytics-system/ https://signal.org/ https://github.com/amokan/off_broadway_redis/tree/master/lib/off_broadway/redis https://github.com/dashbitco/broadway_sqs/blob/master/lib/broadway_sqs/producer.ex https://github.com/syntazo/visualtrading https://docs.confluent.io/current/cloud/migrate-topics-on-cloud-clusters.html https://docs.microsoft.com/en-us/dotnet/csharp/language-reference/keywords/using-statement https://www.google.com/search?q=broadway+websocket+getstage&rlz=1C5CHFA_enUS724US727&oq=broadway+websocket+getstage&aqs=chrome..69i57.11647j0j7&sourceid=chrome&ie=UTF-8 https://elixir-lang.org/getting-started/typespecs-and-behaviours.html http://traildb.io/docs/technical_overview/ https://www.viget.com/articles/acceptance-testing-react-apps-with-jest-and-nightmare/ https://en.wikipedia.org/wiki/Elizabeth_Gaskell https://www.google.com/search?rlz=1C5CHFA_enUS724US727&biw=2740&bih=1446&tbm=shop&sxsrf=ALeKk0289O0AuowkM8XLZl95gnb1azCi1w%3A1589634982469&ei=pue_XsmiHOiqytMP6cGQkA0&q=kilts+amazon&oq=kilts+amazon&gs_l=psy-ab-sh.3..0j0i24k1j0i5i30k1j0i8i30k1.47732.50018.0.50308.7.7.0.0.0.0.107.565.5j2.7.0....0...1c.1.64.psy-ab-sh..0.7.563...0i67k1.0.xs-Xk5bA3sc#spd=7089280770963357749 https://www.amazon.com/UT-Kilts-Deluxe-Utility-Modern/dp/B00RI4IFM6/ref=sr_1_101?dchild=1&keywords=wool+kilt&qid=1589635562&sr=8-101 chrome://newtab/ https://nats.io/about/ https://docs.nats.io/nats-streaming-concepts/intro https://docs.nats.io/whats_new_20 https://cube.dev/ https://github.com/hauleth/ecto_olap/blob/master/test/grouping_sets_test.exs https://github.com/GameAnalytics/panoramix http://cubes.databrewery.org/index.html https://olapy.readthedocs.io/en/latest/ https://github.com/abilian/ldif https://tools.ietf.org/html/rfc2849 https://github.com/abilian/olap https://github.com/jbmusso/awesome-graph https://tech.ebayinc.com/engineering/akutan-a-distributed-knowledge-graph-store/ https://github.com/amirouche/hoply/blob/master/docs/source/index.rst#welcome-to-hoplys-documentation http://www.opencypher.org/ https://blog.blazegraph.com/ https://dgraph.io/enterprise https://dgraph.io/docs/ https://www.stardog.com/ https://jena.apache.org/ https://franz.com/ https://tech.ebayinc.com/engineering/akutan-a-distributed-knowledge-graph-store/ https://en.wikipedia.org/wiki/Comparison_of_triplestores https://en.wikipedia.org/wiki/AllegroGraph https://en.wikipedia.org/wiki/Datomic https://www.infoq.com/articles/Datomic-Information-Model/ https://github.com/RDFLib/rdflib http://docs.dydra.com/dydra http://graphdb.ontotext.com/ http://graphdb.ontotext.com/documentation/free/quick-start-guide.html#domain-range-graph https://github.com/amirouche/hoply/tree/master/hoply https://giraph.apache.org/intro.html https://en.wikipedia.org/wiki/Bulk_synchronous_parallel https://dl.acm.org/doi/10.1145/1807167.1807184 https://github.com/krlawrence/graph https://github.com/fibo/OLAP-cube https://github.com/vectorengine/vectorsql https://github.com/7upcat/Datum https://github.com/jjmontesl/cubetl https://github.com/TobiasWeller/SemanticOLAP/ https://github.com/vectorengine/vectordb https://github.com/radondb/radon https://community.hitachivantara.com/s/article/mondrian https://github.com/cwida/duckdb https://github.com/cmu-db https://en.wikipedia.org/wiki/Hybrid_transactional/analytical_processing https://github.com/cmu-db/dbdb.io https://github.com/cmu-db/noisepage-test https://github.com/cmu-db/pgss2017 https://github.com/mining/oml/blob/master/oml/base.py https://github.com/tesseract-ocr/tesseract https://tesseract-ocr.github.io/tessdoc/Home.html https://pymupdf.readthedocs.io/en/latest/document/#Document.newPage https://en.wikipedia.org/wiki/OLAP_cube https://en.wikipedia.org/wiki/Star_schema https://www.datawarehouse4u.info/Data-warehouse-schema-architecture-fact-constellation-schema.html https://www.datawarehouse4u.info/blog/may-15th-blog-roundup http://www.b-eye-network.com/view/8451 http://c2.com/ppr/stars.html https://en.wikipedia.org/wiki/Snowflake_schema https://en.wikipedia.org/wiki/Fact_table https://en.wikipedia.org/wiki/Dimension_(data_warehouse)#Dimension_table https://en.wikipedia.org/wiki/Projection_(relational_algebra) https://support.microsoft.com/en-us/office/overview-of-online-analytical-processing-olap-15d2cdde-f70b-4277-b009-ed732b75fdd6?ui=en-us&rs=en-us&ad=us https://www.webcitation.org/6HugtBHbC?url=http://www.postgresql.org/about/news/653/ https://en.wikipedia.org/wiki/OLAP_cube#CITEREFZhang2017 https://hal.archives-ouvertes.fr/hal-01533675/ https://www.webcitation.org/6HugvxlwS?url=http://lemire.me/OLAP/ https://www.w3.org/TR/vocab-data-cube/ https://www.google.com/search?q=phoenix+admin&rlz=1C5CHFA_enUS724US727&oq=phoenix+admin&aqs=chrome..69i57j0l3j69i61j69i65l3.3723j0j7&sourceid=chrome&ie=UTF-8 http://virkill.com/phoenixadmin-fastest-way-to-have-admin-panel-in-phoenix/ https://medium.com/aviabird/10-amazing-open-source-elixir-phoenix-apps-e2c52ee25053 https://changelog.com/ https://elixirforum.com/t/mandarin-forage-an-admin-tool-for-phoenix/18211 https://github.com/tmbb/mandarin https://github.com/tmbb/forage https://github.com/tmbb/bureaucrat_demo_app https://www.reddit.com/r/elixir/new/ https://github.com/aesmail/kaffy http://127.0.0.1:4000/admin https://mail.google.com/mail/u/0/#inbox https://play.google.com/store?hl=en&tab=m8 https://mail.google.com/mail/u/0/?tab=8m#search/lenny https://www.dropbox.com/s/a4numlx0jpj5t4q/Takis-Inventory.pdf?dl=0 chrome://newtab/ chrome://newtab/ https://domains.google.com/m/registrar/takisvassilakis.org https://mykonosbiennale.com/Takis-Inventory.html chrome://newtab/ https://blog.yugabyte.com/insert-into-yugabyte-were-hiring-may-2020/ https://www.linkedin.com/jobs/search/?pivotType=jymbii&start=72 https://en.wikipedia.org/wiki/Lightweight_Directory_Access_Protocol https://www.postgresql.org/docs/current/textsearch-tables.html#TEXTSEARCH-TABLES-INDEX http://lettuce.it/recipes/django-lxml.html