#typescript #elasticsearch #kibana #metrics #visualizations

https://github.com/elastic/kibana

#python #elasticsearch #kibana #osint #scrape #scrape_followers #scrape_following #scrape_likes #tweep #tweets #twint #twitter

https://github.com/twintproject/twint

#shell #debezium #elasticsearch #kafka #kafka_connect #kafka_streams #ksql #mysql #syslog

https://github.com/confluentinc/demo-scene

#c_lang #compliance #elasticsearch #file_integrity_management #ids #incident_response #intrusion_detection #log_analysis #loganalyzer #monitoring #openscap #ossec #pci_dss #policy_monitoring #security #security_awareness #security_hardening #vulnerability_detection #wazuh

https://github.com/wazuh/wazuh

#python #cli #digital_brain #elasticsearch #knowledge #knowledge_base #note_taking #productivity

https://github.com/archivy/archivy

#python #elasticsearch #ids #logging #monitoring #security #siem #signatures #splunk #sysmon

https://github.com/SigmaHQ/sigma

#go #elasticsearch

https://github.com/olivere/elastic

#python #ai #bert #dpr #elasticsearch #information_retrieval #language_model #machine_learning #natural_language_processing #neural_search #nlp #pytorch #question_answering #search_engine #semantic_search #squad #summarization #transfer_learning #transformers

https://github.com/deepset-ai/haystack

#typescript #css #design_system #elasticsearch #eui #kibana #react #sass

https://github.com/elastic/eui

#python #cross_modal #data_structures #dataclass #deep_learning #docarray #elasticsearch #graphql #multi_modal #multimodal #nearest_neighbor_search #nested_data #neural_search #protobuf #qdrant #semantic_search #sqlite #unstructured_data #vector_search #weaviate

https://github.com/docarray/docarray

#shell #docker #docker_compose #elasticsearch #elk #kibana #logstash #searchguard

https://github.com/deviantony/docker-elk

#python #archive #download_manager #download_videos #elasticsearch #media_server #youtube #youtube_dl

https://github.com/tubearchivist/tubearchivist

#java #baas #clickhouse #crud #databricks #elasticsearch #hadoop #hive #influxdb #low_code #lowcode #milvus #nocode #oracle #postgresql #postgresql_database #serverless #snowflake #sqlserver #tdengine #tidb

APIJSON is a powerful tool that simplifies the development of APIs and reduces the workload for both front-end and back-end developers. Here are the key benefits APIJSON provides automatic generation of APIs and documentation, eliminating the need for manual coding of CRUD (Create, Read, Update, Delete) operations and documentation.
- **Customizable** It significantly reduces development and communication costs, simplifies the development process, and shortens the development cycle.
- **Compatibility** APIJSON automatically manages versions, controls permissions, and prevents SQL injection attacks.
- **Community Support**: It has a strong community with extensive documentation, video tutorials, and a large number of contributors and users from major companies like Tencent, Huawei, and Baidu.

Overall, APIJSON streamlines API development, making it faster, more efficient, and less prone to errors.

https://github.com/Tencent/APIJSON

#java #elasticsearch #java #search_engine

Elasticsearch is a powerful tool that helps you search and analyze large amounts of data quickly. It allows you to perform near real-time searches, vector searches, and integrate with AI applications. You can use it for various tasks like full-text search, logging, metrics, application performance monitoring, and security logs. To get started, you can set up Elasticsearch locally using Docker with a simple script, which includes a trial license for all features. This setup is easy and secure for local testing, and you can access your data through REST APIs or tools like Kibana. This makes it easier to manage and analyze your data efficiently.

https://github.com/elastic/elasticsearch

#typescript #alerting #analytics #business_intelligence #dashboard #data_visualization #elasticsearch #go #grafana #hacktoberfest #influxdb #metrics #monitoring #mysql #postgres #prometheus

Grafana is a free tool that helps you monitor and understand your data. You can use it to create graphs, dashboards, and alerts for your metrics and logs. It allows you to mix data from different sources and explore your data in various ways. You can also share dashboards with your team and set up notifications for important changes. This helps you make better decisions based on your data and keeps your team informed. To get started, you can download Grafana and follow the installation guides.

https://github.com/grafana/grafana

#python #elasticsearch #ids #logging #monitoring #security #siem #signatures #splunk #sysmon

Sigma is a way to share rules for detecting bad behavior in computer logs. It's like a common language that works with many different systems, making it easy to share and use detection methods across different platforms. This helps security teams work together and improve their ability to find threats. Sigma rules are flexible, easy to write, and can be used with systems like Splunk, Elasticsearch, and Microsoft Defender. The main benefit is that you can write a rule once and use it on many systems, saving time and effort.

https://github.com/SigmaHQ/sigma