diff --git a/src/RedisTimeSeries.jl b/src/RedisTimeSeries.jl
new file mode 100644
index 0000000..5a8469f
--- /dev/null
+++ b/src/RedisTimeSeries.jl
@@ -0,0 +1,9 @@
+module RedisTimeSeries
+
+import Redis.RedisConnection, Redis.execute_command
+
+export create, alter, add, madd, incrby, decrby, get
+
+include("commands.jl")
+
+end
diff --git a/src/commands.jl b/src/commands.jl
new file mode 100644
index 0000000..78320ea
--- /dev/null
+++ b/src/commands.jl
@@ -0,0 +1,88 @@
+# TS.CREATE key [RETENTION retentionTime] [UNCOMPRESSED] [LABELS field value..]
+function create(conn::RedisConnection, key::String, command::String)
+	response = execute_command(conn, ["TS.CREATE", key, command])
+	println(response)
+end
+
+# TS.ALTER key [RETENTION retentionTime] [LABELS field value..]
+function alter(conn::RedisConnection, key::String, params::String)
+	response = execute_command(conn, ["TS.ALTER", key, params])
+	println(response)
+end
+
+# TS.ADD call with specified key-value pairs for LABELS
+function add(conn::RedisConnection, key::String, timestamp::Int64, value::Float64, labels::Dict{String,String}, retention=0)
+	# TS.ADD key timestamp value [RETENTION retentionTime] [UNCOMPRESSED] [LABELS field value..]
+	# Note that UNCOMPRESSED is unused in timeseries-py; we are following suit here.
+	label_str = ""
+	for i in keys(labels) label_str = string(label_str, "$i $(labels[i]) ") end
+	response = execute_command(conn, ["TS.ADD", key, string(timestamp), string(value), retention, label_str])
+	println(response)
+end
+
+# TS.ADD without labels
+function add(conn::RedisConnection, key::String, timestamp::Int64, value::Float64, retention=0)
+	# TS.ADD key timestamp value [RETENTION retentionTime] [UNCOMPRESSED] [LABELS field value..]
+	# Note that UNCOMPRESSED is unused in timeseries-py; we are following suit here.
+	response = execute_command(conn, ["TS.ADD", key, string(timestamp), string(value), retention])
+	println(response)
+end
+
+function get(conn::RedisConnection, key::String)
+	response = execute_command(conn, ["TS.GET", key])
+	humantime = Libc.strftime(response[1])
+	println(string("$humantime => $(response[2])"))
+end
+
+function ktv_unfold(ktv::Tuple{String, Int64, Float64})
+	ktv_str = ""
+	for i in ktv ktv_str = string(ktv_str, "$ktv[1], $ktv[2], $ktv[3] ") end
+	return ktv_str
+end
+
+# MADD accepts an array of key-time-value tuples.
+function madd(conn::RedisConnection, ktv_tuples::Array{Tuple{String, Int64, Float64}})
+	#  TS.MADD key timestamp value [key timestamp value ...]
+	ktv_arg = ""
+	for i in ktv_tuples ktv_arg = string(ktv_arg, ktv_unfold(i)) end
+	response = execute_command(conn, ["TS.MADD", ktv_arg])
+	println(response)
+end
+
+# MADD accepts a key-time-value tuple.
+function madd(conn::RedisConnection, ktv_tuple::Tuple{String, Int64, Float64})
+	#  TS.MADD key timestamp value [key timestamp value ...]
+	response = execute_command(conn, ["TS.MADD", ktv_unfold(ktv_tuple)])
+	println(response)
+end
+
+function madd(conn::RedisConnection, ktv::Tuple{String, String, Float64})
+	#  TS.MADD key timestamp value [key timestamp value ...]
+	response = execute_command(conn, ["TS.MADD", ktv[1], ktv[2], string(ktv[3])])
+	println(response)
+end
+
+#  function incrby(conn::RedisConnection, key::String, value::Float64, params::String)
+	#  #  TS.INCRBY key value [TIMESTAMP timestamp] [RETENTION retentionTime] [UNCOMPRESSED] [LABELS field value..]
+	#  execute_command(conn, ["TS.INCRBY", key, string(value), params])
+#  end
+
+#  function decrby(conn::RedisConnection, key::String, value::Float64, params::String)
+	#  #  TS.DECRBY key value [TIMESTAMP timestamp] [RETENTION retentionTime] [UNCOMPRESSED] [LABELS field value..]
+	#  execute_command(conn, ["TS.DECRBY", key, string(value), params])
+#  end
+
+
+#  TS.CREATERULE sourceKey destKey AGGREGATION aggregationType timeBucket
+
+#  TS.RANGE key fromTimestamp toTimestamp [COUNT count] [AGGREGATION aggregationType timeBucket]
+#  TS.RANGE temperature:3:32 1548149180000 1548149210000 AGGREGATION avg 5000
+
+#  TS.MRANGE fromTimestamp toTimestamp [COUNT count] [AGGREGATION aggregationType timeBucket] [WITHLABELS] FILTER filter..
+#  TS.MRANGE 1548149180000 1548149210000 AGGREGATION avg 5000 FILTER area_id=32 sensor_id!=1
+
+#  TS.MGET FILTER filter...
+
+#  TS.INFO key
+
+#  TS.QUERYINDEX filter...
diff --git a/test.jl b/test.jl
new file mode 100644
index 0000000..0706bb2
--- /dev/null
+++ b/test.jl
@@ -0,0 +1,19 @@
+include("src/RedisTimeSeries.jl")
+import .RedisTimeSeries
+import Redis
+
+conn = Redis.RedisConnection() # host=127.0.0.1, port=6379, db=0, no password
+
+key = "temperature:2:32"
+Redis.del(conn, key)
+RedisTimeSeries.create(conn, key, "RETENTION 60000 LABELS sensor_id 2 area_id 32")
+RedisTimeSeries.alter(conn, key, "LABELS sensor_id 2 area_id 32 sub_area_id 15")
+RedisTimeSeries.add(conn, key, 1548149180000, 26.0, Dict{String,String}("sensor_id" => "2", "area_id" => "32"))
+RedisTimeSeries.get(conn, key)
+for n in 1:1000
+	RedisTimeSeries.madd(conn, (key, "*", Float64(n)))
+	RedisTimeSeries.get(conn, key)
+	sleep(1)
+end
+
+Redis.disconnect(conn)
\ No newline at end of file