{"package": "flan", "summary": "Create (very good) fake NCSA Combined Log Format access.log files for testing log-consuming systems like Splunk, ActiveMQ, Amazon MQ, RabbitMQ, Kafka, FluentD, Flume, Pulsar, Nifi...", "pypi_url": "https://pypi.org/project/flan", "piwheels_url": "https://www.piwheels.org/project/flan", "releases": {"0.0.37": {"released": "2019-08-19 02:35:25", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"flan-0.0.37-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/flan/flan-0.0.37-py3-none-any.whl", "filehash": "1d6ea08b28c784c8f249bf6aae494ac20af73dc1830e512a026bdba1a26719d1", "filesize": 49836, "builder_abi": "cp34m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["boto", "confluent-kafka", "fluent-logger", "numpy", "pyspark", "python-dateutil", "pyyaml", "service", "splunk-sdk", "stomp-py", "ua-parser", "user-agents"]}}}}}